{"title":"Math — Statistics \u0026 Probability","description":"\u003cp\u003eStatistics \u0026amp; probability books for kids and teens, from first readers to high-school level. Narrow by grade, format or language, and choose your state to see which books your ESA or scholarship program can pay for.\u003c\/p\u003e","products":[{"product_id":"the-cartoon-introduction-to-statistics-paperback-2","title":"The Cartoon Introduction to Statistics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGrady Klein\u003c\/b\u003e (Author), \u003cb\u003eAlan Dabney\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Cartoon Introduction to Statistics\u003c\/i\u003e is the most imaginative and accessible introductory statistics course you'll ever take. Employing an irresistible cast of dragon-riding Vikings, lizard-throwing giants, and feuding aliens, the renowned illustrator Grady Klein and the award-winning statistician Alan Dabney teach you how to collect reliable data, make confident statements based on limited information, and judge the usefulness of polls and the other numbers that you're bombarded with every day. If you want to go beyond the basics, they've created the ultimate resource: \"The Math Cave,\" where they reveal the more advanced formulas and concepts. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eTimely, authoritative, and hilarious, \u003ci\u003eThe Cartoon Introduction to Statistics\u003c\/i\u003e is an essential guide for anyone who wants to better navigate our data-driven world.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGrady Klein\u003c\/b\u003e is a cartoonist, an illustrator, and an animator. He is the coauthor and illustrator of \u003ci\u003eThe Cartoon Introduction to Economics: Volume One: Microeconomics\u003c\/i\u003e and \u003ci\u003eThe Cartoon Introduction to Economics: Volume Two: Macroeconomics\u003c\/i\u003e, and the creator of the Lost Colony series of graphic novels. He lives in Princeton, New Jersey, with his wife and two children. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eAlan Dabney\u003c\/b\u003e, Ph.D., is an award-winning associate professor of statistics at Texas A\u0026amp;M University. He lives in College Station, Texas, with his wife and three children.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 240\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 10.36 x 6.53 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 02, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48796032336126,"sku":"9780809033591","price":23.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/MuHc0Pwu-l9780809033591_c9958a88-1e39-4da4-bf96-fb317b0b784c.webp?v=1787922684"},{"product_id":"the-manga-guide-to-statistics-paperback","title":"The Manga Guide to Statistics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eShin Takahashi\u003c\/b\u003e (Author), \u003cb\u003eCo Ltd Trend\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThink you can't have fun learning statistics? Think again. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ci\u003eThe Manga Guide to Statistics\u003c\/i\u003e will teach you everything you need to know about this essential discipline, while entertaining you at the same time. With its unique combination of Japanese-style comics called manga and serious educational content, the EduManga format is already a hit in Japan. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eThe Manga Guide to Statistics\u003c\/i\u003e, our heroine Rui is determined to learn about statistics to impress the dreamy Mr. Igarashi and begs her father for a tutor. Soon she's spending her Saturdays with geeky, bespectacled Mr. Yamamoto, who patiently teaches her all about the fundamentals of statistics: topics like data categorization, averages, graphing, and standard deviation. \u003cp\u003e\u003c\/p\u003eAfter all her studying, Rui is confident in her knowledge of statistics, including complex concepts like probability, coefficients of correlation, hypothesis tests, and tests of independence. But is it enough to impress her dream guy? Or maybe there's someone better, right in front of her? \u003cp\u003e\u003c\/p\u003eReluctant statistics students of all ages will enjoy learning along with Rui in this charming, easy-to-read guide, which uses real-world examples like teen magazine quizzes, bowling games, test scores, and ramen noodle prices. Examples, exercises, and answer keys help you follow along and check your work. An appendix showing how to perform statistics calculations in Microsoft Excel makes it easy to put Rui's lessons into practice. \u003cp\u003e\u003c\/p\u003eThis EduManga book is a translation from a bestselling series in Japan, co-published with Ohmsha, Ltd. of Tokyo, Japan.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eShin Takahashi\u003c\/b\u003e graduated from the Graduate School of Design at Kyushu University in Japan. He has worked as a lecturer and performing data analyst and is currently employed as a technical writer. Takahashi has published several books in the Japanese Manga Guide series, including Statistics-Factor Analysis Edition and Statistics-Regression Analysis Edition (both published by Ohmsha).\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 224\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.1 x 6.9 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 01, 2008\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48849255629054,"sku":"9781593271893","price":24.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/8CeKcRw8FS9781593271893.webp?v=1788353377"},{"product_id":"perfect-don-larsens-miraculous-world-series-game-and-the-men-who-made-it-happen-paperback","title":"Perfect: Don Larsen's Miraculous World Series Game and the Men Who Made it Happen - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eLew Paper\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\"\u003ci\u003ePerfect \u003c\/i\u003ecaptures our hearts as it carries us back to the golden age of baseball and the more innocent world of the 1950s.\"--Doris Kearns Goodwin, Pulitzer Prize-winning Author of \u003c\/b\u003e\u003ci\u003e\u003cb\u003eThe Bully Pulpit\u003c\/b\u003e\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e On October 8, 1956, New York Yankees pitcher Don Larsen took the mound for game five of the World Series against the rival Brooklyn Dodgers. In an improbable performance that the \u003ci\u003eNew York Times\u003c\/i\u003e called \"the greatest moment in the history of the Fall Classic,\" Larsen, an otherwise mediocre journeyman pitcher, retired twenty-seven straight Dodger batters to clinch a perfect game and, to date, the only World Series no-hitter ever witnessed in major league baseball. Here, Lew Paper delivers a masterful pitch-by-pitch account of that fateful day and the extraordinary lives of the players on the field--seven of whom would later be inducted into the Hall of Fame. Meticulously researched and relying on dozens of interviews, Paper's gripping narrative recreates Larsen's feat in a pitching duel that featured legendary figures such as Mickey Mantle, Jackie Robinson, Yogi Berra, and Roy Campanella. \u003cp\u003e\u003c\/p\u003e More than just the story of a single game, \u003ci\u003ePerfect\u003c\/i\u003e is a window into baseball's glorious past.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eLew Paper is a graduate of the University of Michigan and Harvard Law School and holds a master's degree in law from Georgetown University Law School. He has held a variety of positions in the public and private sectors, including a fellowship with Georgetown University Law School's Institute of Public Interest Representation, Legislative Counsel to Senator Gaylord Nelson in the United States Senate, and Associate General Counsel at the Federal Communications Commission. He is the author of \u003ci\u003eJohn F. Kennedy: The Promise and The Performance; Brandeis: An Intimate Biography; Empire: William S. Paley and The making of CBS;\u003c\/i\u003e and \u003ci\u003eDeadly Risks\u003c\/i\u003e. His articles and book reviews have appeared in numerous publications, including \u003ci\u003eThe New York Times, The Washington Post, The New Republic\u003c\/i\u003e, and \u003ci\u003eThe American Scholar\u003c\/i\u003e. He currently practices law in Washington, DC.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 448\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.95 x 8.85 x 6.04 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 05, 2010\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48869482791166,"sku":"9780451231239","price":27.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/tBpnc_j4n29780451231239.webp?v=1788572399"},{"product_id":"data-science-in-laymans-terms-statistics-hardcover-1","title":"Data Science in Layman's Terms: Statistics - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eNicholas Lincoln\u003c\/b\u003e (Author), \u003cb\u003ePro_ebookcovers\u003c\/b\u003e (Cover Design by)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThere are countless blogs, courses, and tutorials out there that explain statistical concepts, but only a book can provide a complete roadmap to understanding statistics. Textbooks, however, tend to focus on theory and mathematical proofs, rather than practical or applied statistics. Data Science in Layman's Terms: Statistics strikes a balance between an easy-reading tutorial, and a theory intensive textbook. It offers a complete roadmap for understanding statistics. The concepts in this book are first explained in plain English, and are then supported by visuals and equations. The material is arranged linearly from the simple ideas presented in the first few chapters to the complex ideas presented in later chapters. Each chapter builds upon the information from previous chapters. Every chapter contains code that shows how to implement the concepts, in both R and Python.\u003cbr\u003e The book begins by explaining basic statistical concepts and descriptive statistics. It then explains linear and logistic regression, and how optimization plays a central role in statistics. The book then explains statistical tests for comparing group means, such as ANOVA and MANOVA. Both parametric and non-parametric tests are described. Concepts to expand the flexibility of statistical analysis, like regularization, resampling, dimension reduction, and nonlinear modeling, are also explained. Later in the book, the Bayesian approach to statistics is described. The last chapters cover time series and signals analysis. All of these concepts are applied in R and Python at the end of each chapter.\u003cbr\u003e In this book, you will\u003cbr\u003e - Learn how to build statistical models to predict continuous, ordinal, and categorical variables.\u003cbr\u003e - Use time series modeling to forecast stock prices and volatility.\u003cbr\u003e - Use Fitbit data to model calories burned, and find out how many steps it takes to burn 1 calorie.\u003cbr\u003e - Create a fake text or Tweet generator that produces text that is close enough to normal speech to seem believable.\u003cbr\u003e - Detect outliers, identify potentially fraudulent data, and detect change points in time series data.\u003cbr\u003e - Learn how to discover gravitational waves in signal data from the Laser Interferometer Gravitational-Wave Observatory.\u003cbr\u003e The GitHub repository accompanying this book can be found at: https: \/\/github.com\/nlinc1905\/dsilt-stats-code\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 482\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.06 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 02, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48873430778110,"sku":"9780692150757","price":71.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/ruosMqaKoB9780692150757_8ee811c6-be1a-4f33-9947-ccd58690c70a.webp?v=1788611486"},{"product_id":"the-master-algorithm-how-the-quest-for-the-ultimate-learning-machine-will-remake-our-world-paperback-1","title":"The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePedro Domingos\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRecommended by Bill Gates \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own \u003cp\u003e\u003c\/p\u003e In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In \u003ci\u003eThe Master Algorithm\u003c\/i\u003e, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003ePedro Domingos\u003c\/b\u003e is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1 x 8.1 x 5.4 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 13, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48873497133310,"sku":"9780465094271","price":19.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/PfxGv4aSjr9780465094271_155e4916-752a-41da-82b9-fc3437044318.webp?v=1788611537"},{"product_id":"bayesian-statistics-the-fun-way-understanding-statistics-and-probability-with-star-wars-lego-and-rubber-ducks-paperback","title":"Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eWill Kurt\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFun guide to learning Bayesian statistics and probability through unusual and illustrative examples.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eProbability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. \u003ci\u003eBayesian Statistics the Fun Way\u003c\/i\u003e will change that. \u003cp\u003e\u003c\/p\u003eThis book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples. \u003cp\u003e\u003c\/p\u003eBy using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to: \u003cp\u003e\u003c\/p\u003e- How to measure your own level of uncertainty in a conclusion or belief\u003cbr\u003e- Calculate Bayes theorem and understand what it's useful for\u003cbr\u003e- Find the posterior, likelihood, and prior to check the accuracy of your conclusions\u003cbr\u003e- Calculate distributions to see the range of your data\u003cbr\u003e- Compare hypotheses and draw reliable conclusions from them \u003cp\u003e\u003c\/p\u003eNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to\u003ci\u003e Bayesian Statistics the Fun Way\u003c\/i\u003e to get the most value from your data.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eWill Kurt\u003c\/b\u003e currently works as a Senior Data Scientist at Bombora, and has been using Bayesian statistics to solve real business problems for over half a decade. He frequently blogs about probability on his website, CountBayesie.com. Will is the author of Get Programming with Haskell (Manning Publications) and lives in Reno, Nevada.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 256\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9.2 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 09, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48874396909822,"sku":"9781593279561","price":39.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/oeynwuU-om9781593279561.webp?v=1788617085"},{"product_id":"bayes-theorem-the-ultimate-beginners-guide-to-bayes-theorem-paperback","title":"Bayes Theorem: The Ultimate Beginner's Guide to Bayes Theorem - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eArthur Taff\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe Perfect Book for Beginners Wanting to Visually Learn About Bayes Theorem Through Real Examples!\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat if you could quickly and easily learn Bayesian data analysis without complex textbooks and statistics classes?\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eImagine being able to apply your newly learned theory to real life situations!\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMulti-time best selling IT \u0026amp; mathematics author\u003c\/strong\u003e, Arthur Taff, presents the perfect guide for any beginner. Bayesian data analysis can be difficult to learn, especially through textbooks and statistic classes at school. This book aims to solve that issue by presenting the theories in an easy-to-understand and visually intuitive way. This book contains a number of visual examples to build a basic understanding of Bayesian data analysis and then works to teach at a deeper level without the complexities you'd see in other similar books. Additionally, every example in this book has been solved using Excel.\u003c\/p\u003e\u003cp\u003eIn this book, you will get: \u003c\/p\u003e \u003cul\u003e \u003cli\u003e\n\u003cstrong\u003eA Basic Introduction to Bayes Theorem (with examples)\u003c\/strong\u003e - The initial introduction demonstrates how Bayesian data analysis works when you have a single new piece of data to update initial probabilities.\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eAdding New Data \u0026amp; Updating Probabilities\u003c\/strong\u003e - Takes the above example and looks at what happens if we have multiple pieces of data instead of a single piece.\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eBayes Theorem Terminology\u003c\/strong\u003e - The formal names for the different parts of the Bayes Theorem equation, and how it all comes together for an easier overall understanding.\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eHow to Deal With Data Errors\u003c\/strong\u003e - In a real life situation, it is unlikely that your data will be error-free. This section shows you how to deal with those errors and still get accurate probability estimates.\u003c\/li\u003e \u003cli\u003eArthur's personal email address for unlimited customer support if you have any questions\u003c\/li\u003e \u003cli\u003eAnd much, much more...\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIf you are a person that learns by example, especially visually, then this book is perfect for you! It is a very important topic in a wide range of industries - so dive in to get a deep understanding!\u003c\/p\u003e \u003cp\u003eWell, what are you waiting for? \u003cstrong\u003eGrab your copy today by clicking the BUY NOW button at the top of this page!\u003c\/strong\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 78\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.19 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 23, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48874441113854,"sku":"9781925997583","price":21.55,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/XkF93v08AE9781925997583.webp?v=1788617119"},{"product_id":"probability-the-ultimate-beginners-guide-to-permutations-combinations-paperback","title":"Probability: The Ultimate Beginner's Guide to Permutations \u0026 Combinations - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eArthur Taff\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe Perfect Probability Book for Beginners Wanting to Learn About Permutations \u0026amp; Combinations!\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMulti-time best selling IT \u0026amp; mathematics author\u003c\/strong\u003e, Arthur Taff, presents a leading book for beginners to learn and understand probability concepts such as permutations and combinations. 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Whether it's poker, horse racing, weather forecasting, playing the lottery, general mathematics or virtually any other field where odds need to be determined--this book will help you succeed!\u003c\/p\u003e\u003cp\u003eIn this book, you will get: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eA breakdown of the essentials of permutations and combinations to give you a simple--but not simplistic--approach to calculating any given outcome based on certain variables.\u003c\/li\u003e \u003cli\u003eIntroduction to the Fundamentals of Probability.\u003c\/li\u003e \u003cli\u003eBreakdown of Permutations \u0026amp; Combinations (With Examples).\u003c\/li\u003e \u003cli\u003eHow to Use Permutations \u0026amp; Combinations in Probability.\u003c\/li\u003e \u003cli\u003eUrn Problems \u0026amp; How to Approach Them.\u003c\/li\u003e \u003cli\u003eProbability \u0026amp; Real Life Situations (Lottery, Poker, Weather Forecasts, etc.).\u003c\/li\u003e \u003cli\u003eArthur's personal email address for unlimited customer support if you have any questions\u003c\/li\u003e \u003cli\u003eAnd much, much more...\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eBy the time you're done reading this book you'll have a better understanding of how to use probability in real-world situations. You'll even see I've purposely avoided using a lot of jargon and complex theory so that beginners can pick up this book and gain a working knowledge of how to put permutations and combinations to use, and arrive at outcomes.\u003c\/p\u003e \u003cp\u003eWell, what are you waiting for? \u003cstrong\u003eGrab your copy today by clicking the BUY NOW button at the top of this page!\u003c\/strong\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 100\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.24 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 23, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48874444816638,"sku":"9781925997606","price":21.55,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/OsUHOHtZ4z9781925997606.webp?v=1788617123"},{"product_id":"sas-graphics-for-clinical-trials-by-example-paperback-1","title":"SAS Graphics for Clinical Trials by Example - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKriss Harris\u003c\/b\u003e (Author), \u003cb\u003eRichann Watson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCreate industry-compliant graphs with this practical guide for professionals\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a programmer working in the health care and life sciences industry and you want to create straightforward, visually appealing graphs using SAS, then this book is designed specifically for you. Written by two experienced practitioners, the book explains why certain graphs are requested, gives the necessary code to create the graphs, and shows you how to create graphs from ADaM data sets modeled on real-world CDISC pilot study data.\u003c\/p\u003e\u003cp\u003e \u003ci\u003eSAS\u003csup\u003e\u003c\/sup\u003e Graphics for Clinical Trials by Example\u003c\/i\u003e demonstrates step-by-step how to create both simple and complex graphs using Graph Template Language (GTL) and statistical graphics procedures, including the SGPLOT and SGPANEL procedures. 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Downey\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIf you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. \u003c\/p\u003e\u003cp\u003e Bayesian statistical methods are becoming more common and more important, but there aren't many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid start. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eUse your programming skills to learn and understand Bayesian statistics \u003c\/li\u003e\n\u003cli\u003eWork with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing \u003c\/li\u003e\n\u003cli\u003eGet started with simple examples, using coins, dice, and a bowl of cookies \u003c\/li\u003e\n\u003cli\u003eLearn computational methods for solving real-world problems \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAllen Downey is a Professor of Computer Science at Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT. 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Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, \u003ci\u003eThe Art of Statistics \u003c\/i\u003eis the definitive guide to the power of data. \"A call to arms for greater societal data literacy . . . a reminder that there are passionate, self-aware statisticians who can argue eloquently that their discipline is needed now more than ever.\" -- \u003ci\u003eFinancial Times\u003c\/i\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eDavid Spiegelhalter\u003c\/b\u003e is Emeritus Professor of Statistics in the Statistical Laboratory at the University of Cambridge, having previously held the post of Chair of the Winton Centre for Risk and Evidence Communication. In 2014 he was knighted for his services to statistics, and from 2017 to 2018 he served as president of the Royal Statistical Society. 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Klopper\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIntroduction to Statistics with the Wolfram Language applies the extensive computational power of the Wolfram Language to the field of statistics. Starting from the basics and working through a range of foundational concepts, Klopper shows just how accessible computational statistics can\u003c\/p\u003e\u003cp\u003ebe given the appropriate tool set. Topics include descriptive statistics, distributions, hypothesis testing, parametric testing, correlation and much more. Follow along as Klopper offers step-by-step instructions and relevant exercises from the field of medical statistics designed to teach readers how to understand and present data in today's increasingly data-driven world.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe Wolfram Language represents a major advance in programming languages that makes leading edge computation accessible to everyone. Unique in its approach of having vast built-in knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. wolfram.com\/language\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eExplore the author's Wolfram Notebooks and look for updates in Coursera and Wolfram U for use with this book! wolfr.am\/klopper\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWolfram Notebooks are viewable for free with Wolfram Player. wolfram.com\/player\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eDr. Juan Klopper is a surgeon in academic practice at Groote Schuur Hospital in Cape Town, South Africa. Within this role, he works to develop educational resources and improve health care using data science and mathematics. Mathematica and the Wolfram Language are prominent among the tools that he has found useful in these pursuits. Dr. Klopper is also the Head of Postgraduate Surgical Research and the Head of Surgical Education at the University of Cape Town. In addition to private consulting with the Klopper Research Group, his work with the hospital and the University of Cape Town has given him the opportunity to educate and support many surgical trainees and master's and doctoral candidates. In accordance with his desire to share knowledge and improve health care, he teaches medical statistics at the university and has prepared several highly ranked classes for online platforms including Coursera and Udemy. 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Aggarwal\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: \u003c\/p\u003e \u003cp\u003e1. \u003ci\u003eThe basics of probability and statistics: \u003c\/i\u003eThese chapters focus on the basics of probability and statistics, and cover the key principles of these topics. Chapter 1 provides an overview of the area of probability and statistics as well as its relationship to machine learning. The fundamentals of probability and statistics are covered in Chapters 2 through 5.\u003c\/p\u003e \u003cp\u003e2. \u003ci\u003eFrom probability to machine learning: \u003c\/i\u003eMany machine learning applications are addressed using probabilistic models, whose parameters are then learned in a data-driven manner. Chapters 6 through 9 explore how different models from probability and statistics are applied to machine learning. Perhaps the most important tool that bridges the gap from data to probability is maximum-likelihood estimation, which is a foundational concept from the perspective of machine learning. This concept is explored repeatedly in these chapters.\u003c\/p\u003e \u003cp\u003e3. \u003ci\u003eAdvanced topics: \u003c\/i\u003eChapter 10 is devoted to discrete-state Markov processes. It explores the application of probability and statistics to a temporal and sequential setting, although the applications extend to more complex settings such as graphical data. Chapter 11 covers a number of probabilistic inequalities and approximations.\u003c\/p\u003e \u003cp\u003eThe style of writing promotes the learning of probability and statistics simultaneously with a probabilistic perspective on the modeling of machine learning applications. The book contains over 200 worked examples in order to elucidate key concepts. Exercises are included both within the text of the chapters and at the end of the chapters. The book is written for a broad audience, including graduate students, researchers, and practitioners.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: \u003c\/p\u003e\u003cp\u003e1. \u003ci\u003eThe basics of probability and statistics: \u003c\/i\u003eThese chapters focus on the basics of probability and statistics, and cover the key principles of these topics. Chapter 1 provides an overview of the area of probability and statistics as well as its relationship to machine learning. The fundamentals of probability and statistics are covered in Chapters 2 through 5.\u003c\/p\u003e\u003cp\u003e2. \u003ci\u003eFrom probability to machine learning: \u003c\/i\u003eMany machine learning applications are addressed using probabilistic models, whose parameters are then learned in a data-driven manner. Chapters 6 through 9 explore how different models from probability and statistics are applied to machine learning. Perhaps the most important tool that bridges the gap from data to probability is maximum-likelihood estimation, which is a foundational concept from the perspective of machine learning. This concept is explored repeatedly in these chapters.\u003c\/p\u003e\u003cp\u003e3. \u003ci\u003eAdvanced topics: \u003c\/i\u003eChapter 10 is devoted to discrete-state Markov processes. It explores the application of probability and statistics to a temporal and sequential setting, although the applications extend to more complex settings such as graphical data. Chapter 11 covers a number of probabilistic inequalities and approximations.\u003c\/p\u003e\u003cp\u003eThe style of writing promotes the learning of probability and statistics simultaneously with a probabilistic perspective on the modeling of machine learning applications. The book contains over 200 worked examples in order to elucidate key concepts. Exercises are included both within the text of the chapters and at the end of the chapters. The book is written for a broad audience, including graduate students, researchers, and practitioners.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eCharu C. Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his undergraduate degree in Computer Science from the Indian Institute of Technology at Kanpur in 1993 and his Ph.D. in Operations Research from the Massachusetts Institute of Technology in 1996. He has published more than 400 papers in refereed conferences and journals, and has applied for or been granted more than 80 patents. He is author or editor of 20 books, including textbooks on linear algebra, machine learning, neural networks, and outlier analysis. Because of the commercial value of his patents, he has thrice been designated a Master Inventor at IBM. He has received several awards, including the EDBT Test-of-Time Award (2014), the ACM SIGKDD Innovation Award (2019), the IEEE ICDM Research Contributions Award (2015), and the IIT Kanpur Distinguished Alumnus Award (2023).He is also a recipient of the W. Wallace McDowell Award, the highest award given solely by the IEEE Computer Society across the field of computer science. He has served as an editor-in-chief of ACM Books and is currently serving as an editor-in-chief of the ACM Transactions on Knowledge Discovery from Data. 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Full facsimile of the original edition, not reproduced with Optical Recognition Software. This is the second book by Norbert Wiener on time series and communication engineering. While the first one, \"Cybernetics\", treated the subject from a general standpoint and was more philosophical than mathematical, the present volume is more technical than theoretical, and forms a kind of companion piece to the first. It is intended as a tool for engineers working in the field of electrical communication and related subjects. The book consists of an introduction, five chapters, and three appendices. After explaining the general outline of the problem in the introduction, the author gives in Chapter I a review of generalized harmonic analysis which is necessary for the understanding of the following chapters. Chapters II and III are devoted to the problems of prediction and filtering respectively. In Chapter IV there is given a brief account of the theory of multiple prediction, that is, the theory of prediction when we deal with more than one time series at the same time. 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Four years later, the University of Connecticut women's basketball team won its hundredth straight game, defeating South Carolina 66-55. And in 2010, one forecaster--an octopus named Paul--correctly predicted the outcome of all of Germany's matches in the FIFA World Cup. These are surprising events--but are they truly improbable? \u003cp\u003e\u003c\/p\u003e In \u003ci\u003eGet in the Game\u003c\/i\u003e, mathematician and sports analytics expert Tim Chartier helps us answer that question--condensing complex mathematics down to coin tosses and dice throws to give readers both an introduction to statistics and a new way to enjoy sporting events. With these accessible tools, Chartier leads us through modeling experiments that develop our intuitive sense of the improbable. For example, to see how likely you are to beat Curry's three-pointer feat, consider his 45.3 percent three-point shooting average in 2012-13. Take a coin and assume heads is making the shot (slightly better than Curry at a fifty percent chance). Can you imagine getting heads eleven out of thirteen times? With engaging exercises and fun, comic book-style illustrations by Ansley Earle, Chartier's book encourages all readers--including those who have never encountered formal statistics or data simulations, or even heard of sports analytics, but who enjoy watching sports--to get in the game.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eTim Chartier\u003c\/b\u003e is the Joseph R. Morton Professor of Mathematics and Computer Science at Davidson College. He has fielded analytics questions from \u003ci\u003eESPN\u003c\/i\u003e, the \u003ci\u003eNew York Times\u003c\/i\u003e, the US Olympic and Paralympic Committee, and teams in the NBA, NFL, and NASCAR. Among his numerous books, he is the author of \u003ci\u003eMath Bytes: Google Bombs, Chocolate-Covered Pi, and Other Cool Bits in Computing\u003c\/i\u003e.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 160\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 8.9 x 5.8 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 07, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48875279679742,"sku":"9780226811147","price":18.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/JFLxrxciu9780226811147.webp?v=1788624450"},{"product_id":"modern-time-series-forecasting-with-python-second-edition-industry-ready-machine-learning-and-deep-learning-time-series-analysis-with-pytorch-and-p-paperback","title":"Modern Time Series Forecasting with Python - Second Edition: Industry-ready machine learning and deep learning time series analysis with PyTorch and p - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eManu Joseph\u003c\/b\u003e (Author), \u003cb\u003eJeffrey Tackes\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLearn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Apply ML and global models to improve forecasting accuracy through practical examples\u003c\/p\u003e\u003cp\u003e- Enhance your time series toolkit by using deep learning models, including RNNs, transformers, and N-BEATS\u003c\/p\u003e\u003cp\u003e- Learn probabilistic forecasting with conformal prediction, Monte Carlo dropout, and quantile regressions\u003c\/p\u003e\u003cp\u003e- Purchase of the print or Kindle book includes a free eBook in PDF format\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003ePredicting the future, whether it's market trends, energy demand, or website traffic, has never been more crucial. 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As you progress, you'll also explore global forecasting models, ensemble methods, and probabilistic forecasting techniques.\u003c\/p\u003e\u003cp\u003eThis new edition goes deeper into transformer architectures and probabilistic forecasting, including new content on the latest time series models, conformal prediction, and hierarchical forecasting. Whether you seek advanced deep learning insights or specialized architecture implementations, this edition provides practical strategies and new content to elevate your forecasting skills.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Build machine learning models for regression-based time series forecasting\u003c\/p\u003e\u003cp\u003e- Apply powerful feature engineering techniques to enhance prediction accuracy\u003c\/p\u003e\u003cp\u003e- Tackle common challenges like non-stationarity and seasonality\u003c\/p\u003e\u003cp\u003e- Combine multiple forecasts using ensembling and stacking for superior results\u003c\/p\u003e\u003cp\u003e- Explore cutting-edge advancements in probabilistic forecasting and handle intermittent or sparse time series\u003c\/p\u003e\u003cp\u003e- Evaluate and validate your forecasts using best practices and statistical metrics\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is ideal for data scientists, financial analysts, quantitative analysts, machine learning engineers, and researchers who need to model time-dependent data across industries, such as finance, energy, meteorology, risk analysis, and retail. Whether you are a professional looking to apply cutting-edge models to real-world problems or a student aiming to build a strong foundation in time series analysis and forecasting, this book will provide the tools and techniques you need. Familiarity with Python and basic machine learning concepts is recommended.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Introducing Time Series\u003c\/p\u003e\u003cp\u003e- Acquiring and Processing Time Series Data\u003c\/p\u003e\u003cp\u003e- Analyzing and Visualizing Time Series Data\u003c\/p\u003e\u003cp\u003e- Setting a Strong Baseline Forecast \u003c\/p\u003e\u003cp\u003e- Time Series Forecasting as Regression \u003c\/p\u003e\u003cp\u003e- Feature Engineering for Time Series Forecasting\u003c\/p\u003e\u003cp\u003e- Target Transformations for Time Series Forecasting \u003c\/p\u003e\u003cp\u003e- Forecasting Time Series with Machine Learning Models \u003c\/p\u003e\u003cp\u003e- Ensembling and Stacking\u003c\/p\u003e\u003cp\u003e- Global Forecasting Models \u003c\/p\u003e\u003cp\u003e- Introduction to Deep Learning\u003c\/p\u003e\u003cp\u003e- Building Blocks of Deep Learning for Time Series\u003c\/p\u003e\u003cp\u003e- Common Modeling Patterns for Time Series\u003c\/p\u003e\u003cp\u003e- Attention and Transformers for Time Series\u003c\/p\u003e\u003cp\u003e(N.B. 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King\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eNo detailed description available for \"Research Methods for Information Systems\".\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eKing Ronald S.: \u003cbr\u003e\u003c\/p\u003e\u003cp\u003eRonald S. King holds a PhD in applied statistics and currently teaches online courses for Tarleton State University (TX). Spanning a career of four decades of teaching and administration at multiple universities, he brings a unique perspective to the fields of statistics, computer science, and information systems. 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Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you will possess a functional understanding of probabilistic modeling, enabling you to design and implement Bayesian models for your data science challenges. You'll be well-prepared to delve into more advanced material or specialized statistical modeling if the need arises.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Build probabilistic models using PyMC and Bambi\u003c\/p\u003e\u003cp\u003e- Analyze and interpret probabilistic models with ArviZ\u003c\/p\u003e\u003cp\u003e- Acquire the skills to sanity-check models and modify them if necessary\u003c\/p\u003e\u003cp\u003e- Build better models with prior and posterior predictive checks\u003c\/p\u003e\u003cp\u003e- Learn the advantages and caveats of hierarchical models\u003c\/p\u003e\u003cp\u003e- Compare models and choose between alternative ones\u003c\/p\u003e\u003cp\u003e- Interpret results and apply your knowledge to real-world problems\u003c\/p\u003e\u003cp\u003e- Explore common models from a unified probabilistic perspective\u003c\/p\u003e\u003cp\u003e- Apply the Bayesian framework's flexibility for probabilistic thinking\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you are a student, data scientist, researcher, or developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory, so no previous statistical knowledge is required, although some experience in using Python and scientific libraries like NumPy is expected.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Introduction to Deep Learning for Mobile \u003c\/p\u003e\u003cp\u003e- Mobile Vision: Face Detection using on-device models \u003c\/p\u003e\u003cp\u003e- Chatbot using Actions on Google \u003c\/p\u003e\u003cp\u003e- Recognizing Plant Species \u003c\/p\u003e\u003cp\u003e- Live Captions Generation of Camera Feed \u003c\/p\u003e\u003cp\u003e- Building Artificial Intelligence Authentication System \u003c\/p\u003e\u003cp\u003e- Speech\/Multimedia Processing: Generating music using AI \u003c\/p\u003e\u003cp\u003e- Reinforced Neural Network based Chess Engine \u003c\/p\u003e\u003cp\u003e- Building Image Super-Resolution Application \u003c\/p\u003e\u003cp\u003e- Road Ahead \u003c\/p\u003e\u003cp\u003e- Appendix \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 358\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 09, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48875366777086,"sku":"9781836644835","price":105.1,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/7GSUO_JlVO9781836644835.webp?v=1788627943"},{"product_id":"xgboost-for-regression-predictive-modeling-and-time-series-analysis-learn-how-to-build-evaluate-and-deploy-predictive-models-with-expert-guidance-paperback","title":"XGBoost for Regression Predictive Modeling and Time Series Analysis: Learn how to build, evaluate, and deploy predictive models with expert guidance - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePartha Pritam Deka\u003c\/b\u003e (Author), \u003cb\u003eJoyce Weiner\u003c\/b\u003e (Author), \u003cb\u003eProf Roberto V. Zicari\u003c\/b\u003e (Foreword by)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster the art of predictive modeling with XGBoost and gain hands-on experience in building powerful regression, classification, and time series models using the XGBoost Python API\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Get up and running with this quick-start guide to building a classifier using XGBoost\u003c\/p\u003e\u003cp\u003e- Get an easy-to-follow, in-depth explanation of the XGBoost technical paper\u003c\/p\u003e\u003cp\u003e- Leverage XGBoost for time series forecasting by using moving average, frequency, and window methods\u003c\/p\u003e\u003cp\u003e- Purchase of the print or Kindle book includes a free PDF eBook\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eXGBoost offers a powerful solution for regression and time series analysis, enabling you to build accurate and efficient predictive models. In this book, the authors draw on their combined experience of 40+ years in the semiconductor industry to help you harness the full potential of XGBoost, from understanding its core concepts to implementing real-world applications.\u003c\/p\u003e\u003cp\u003eAs you progress, you'll get to grips with the XGBoost algorithm, including its mathematical underpinnings and its advantages over other ensemble methods. You'll learn when to choose XGBoost over other predictive modeling techniques, and get hands-on guidance on implementing XGBoost using both the Python API and scikit-learn API. You'll also get to grips with essential techniques for time series data, including feature engineering, handling lag features, encoding techniques, and evaluating model performance. A unique aspect of this book is the chapter on model interpretability, where you'll use tools such as SHAP, LIME, ELI5, and Partial Dependence Plots (PDP) to understand your XGBoost models. Throughout the book, you'll work through several hands-on exercises and real-world datasets.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll not only be building accurate models but will also be able to deploy and maintain them effectively, ensuring your solutions deliver real-world impact.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Build a strong, intuitive understanding of the XGBoost algorithm and its benefits\u003c\/p\u003e\u003cp\u003e- Implement XGBoost using the Python API for practical applications\u003c\/p\u003e\u003cp\u003e- Evaluate model performance using appropriate metrics\u003c\/p\u003e\u003cp\u003e- Deploy XGBoost models into production environments\u003c\/p\u003e\u003cp\u003e- Handle complex datasets and extract valuable insights\u003c\/p\u003e\u003cp\u003e- Gain practical experience in feature engineering, feature selection, and categorical encoding\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for data scientists, machine learning practitioners, analysts, and professionals interested in predictive modeling and time series analysis. 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Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making.\u003c\/p\u003e\u003cp\u003eThis book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You'll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You'll discover techniques for establishing causality, from classic approaches to contemporary methods, such as propensity score matching and instrumental variables. Each chapter is enriched with detailed case studies and R code snippets, enabling you to implement concepts immediately. Beyond technical skills, this book also emphasizes critical thinking in data analysis to empower you to make informed, data-driven decisions. The chapters enable you to harness the power of causal inference in R to uncover deeper insights from data.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to confidently establish causal relationships and make data-driven decisions with precision.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Get a solid understanding of the fundamental concepts and applications of causal inference\u003c\/p\u003e\u003cp\u003e- Utilize R to construct and interpret causal models\u003c\/p\u003e\u003cp\u003e- Apply techniques for robust causal analysis in real-world data\u003c\/p\u003e\u003cp\u003e- Implement advanced causal inference methods, such as instrumental variables and propensity score matching\u003c\/p\u003e\u003cp\u003e- Develop the ability to apply graphical models for causal analysis\u003c\/p\u003e\u003cp\u003e- Identify and address common challenges and pitfalls in controlled experiments for effective causal analysis\u003c\/p\u003e\u003cp\u003e- Become proficient in the practical application of doubly robust estimation using R\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for data practitioners, statisticians, and researchers keen on enhancing their skills in causal inference using R, as well as individuals who aspire to make data-driven decisions in complex scenarios. It serves as a valuable resource for both beginners and experienced professionals in data analysis, public policy, economics, and social sciences. Academics and students looking to deepen their understanding of causal models and their practical implementation will also find it highly beneficial.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Introducing Causal Inference\u003c\/p\u003e\u003cp\u003e- Unraveling Confounding and Associations\u003c\/p\u003e\u003cp\u003e- Initiating R with a Basic Causal Inference Example\u003c\/p\u003e\u003cp\u003e- Constructing Causality Models with Graphs\u003c\/p\u003e\u003cp\u003e- Navigating Causal Inference through Directed Acyclic Graphs\u003c\/p\u003e\u003cp\u003e- Employing Propensity Score Techniques\u003c\/p\u003e\u003cp\u003e- Employing Regression Approaches for Causal Inference\u003c\/p\u003e\u003cp\u003e- Executing A\/B Testing and Controlled Experiments\u003c\/p\u003e\u003cp\u003e- Implementing Doubly Robust Estimation\u003c\/p\u003e\u003cp\u003e- Analyzing Instrumental Variables\u003c\/p\u003e\u003cp\u003e- Investigating Mediation Analysis\u003c\/p\u003e\u003cp\u003e- Exploring Sensitivity Analysis\u003c\/p\u003e\u003cp\u003e- Scrutinizing Heterogeneity in Causal Inference\u003c\/p\u003e\u003cp\u003e- Harnessing Causal Forests and Machine Learning Methods\u003c\/p\u003e\u003cp\u003e- Implementing Causal Discovery in R\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 382\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.79 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 29, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48875439128830,"sku":"9781837639021","price":67.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/i8TdrpjcAq9781837639021.webp?v=1788628055"},{"product_id":"artificial-intelligence-what-is-behind-the-technology-of-the-future-hardcover","title":"Artificial Intelligence: What Is Behind the Technology of the Future? - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGerhard Paaß\u003c\/b\u003e (Author), \u003cb\u003eDirk Hecker\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eArtificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life - from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. \u003cbr\u003eThe English translation of the book \"Künstliche Intelligenz - Was steckt hinter der Technologie der Zukunft?\" originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. \u003cbr\u003eMathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eArtificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life - from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. \u003cbr\u003eThe English translation of the book \"Künstliche Intelligenz - Was steckt hinter der Technologie der Zukunft?\" originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. \u003cbr\u003eMathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003e​\u003c\/b\u003e\u003cb\u003eDr. Gerhard Paaß\u003c\/b\u003e is a Lead Scientist at the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). With a background in Mathematics, he is a recognized expert in the field of Artificial Intelligence, particularly in the area of Natural Language Processing. Dr. Paaß has previously worked at UC Berkeley in California and the University of Technology in Brisbane. He has served as reviewer and conference chair at various international conferences, including NeurIPS, CIKM, ECML\/PKDD, ICDM, and KDD, where he regularly is a member of the program committee. Dr. Paaß has received a \"best paper\" award on probabilistic logic, is the author of about 70 publications for international conferences and journals and he is co-author of the best-selling Open Access book \"Foundation Models for Natural Language Processing\" (Springer, 2023). He is currently involved in the creation of a computer center for Foundation Models. Besides experimental researchon Foundation Models, he holds lectures for Deep Learning and Natural Language Understanding at the University of Bonn and in industry. \u003cbr\u003e\u003cb\u003eDr. Dirk Hecker\u003c\/b\u003e is deputy director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS and managing director of the Fraunhofer Big Data and Artificial Intelligence Alliance, the largest alliance of the Fraunhofer-Gesellschaft with more than 30 member institutes. In addition, Dr. Hecker is a member of the board of directors of the Fraunhofer Academy, which is a further education institution of the Fraunhofer-Gesellschaft aimed at specialists and executives of technology-driven companies. Dr. Hecker has many years of experience in leading research and industrial projects in the field of data mining and Machine Learning. His current work focuses on Big Data Analytics, Predictive Analytics, Deep Learning and Explainable AI. He studied geo-informatics at the Universities of Cologne and Bonn and received his PhD from the University of Cologne. 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Para algunas personas, sus vidas dependen de obtener un flujo constante de información, ya que afecta sus vidas de la manera más reveladora. La noticia diaria es el ejemplo más simple de este fenómeno. Es verdaderamente el alma de la sociedad y nos ayuda a evolucionar hacia personas mejor informadas con cada día que pasa.Como se puede decir, la información en general nos llega desde todas las direcciones. Su influencia en los negocios, la política y el gobierno, la banca, los campos STEM (ciencia, tecnología, ingeniería y matemática) e incluso las ciencias sociales no puede ser subestimada. Pero su viaje comienza con la recopilación de datos sin procesar por medio de un experimento o estudio.Al decir esto, este libro debe servir como una guía de referencia para aquellos que desean ir más allá de lo básico y llegar a un territorio que requiere una comprensión sólida de los conceptos estadísticos avanzados. Aún así, como principiante, será prudente avanzar con cuidado para que pueda consolidar su comprensión antes de comenzar a utilizar estos métodos avanzados.Finalmente, incluso si el tema es un poco profundo, no sea tan serio que se olvide de divertirse con la herramienta SPSS y el estudio de estadísticas en general.Finalmente, comencemos a procesar números sin más demora.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 272\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.57 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 30, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48891903541502,"sku":"9781086264098","price":14.83,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/G7wxNcw9R49781086264098_3da1f447-b7d5-4bfe-8a8c-b2b5984395d0.webp?v=1788674731"},{"product_id":"schaums-outline-of-probability-random-variables-and-random-processes-fourth-edition-paperback-2","title":"Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHwei P. Hsu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePublisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTough Test Questions? Missed Lectures? Not Enough Time?\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eFortunately, there's Schaum's. \u003c\/p\u003e\u003cp\u003eMore than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eSchaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition\u003c\/i\u003e is packed with hundreds of examples, solved problems, and practice exercises to test your skills. This updated guide approaches the subject in a more concise, ordered manner than most standard texts, which are often filled with extraneous material. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eSchaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition\u003c\/i\u003e features: \u003c\/p\u003e\u003cp\u003e- 405 fully-solved problems \u003cbr\u003e- 22 problem-solving videos\u003cbr\u003e- An accessible review of probability and statistics concepts\u003cbr\u003e- Clear, concise explanations of probability, random variables, and random processes\u003cbr\u003e- Content supplements the major leading textbooks in probability and statistics\u003cbr\u003e- Content that is appropriate for Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics courses\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePLUS\u003c\/strong\u003e: Access to the revised Schaums.com website and new app, containing 22 problem-solving videos, and more.\u003c\/p\u003e\u003cp\u003eSchaum's reinforces the main concepts required in your course and offers hundreds of practice exercises to help you succeed. Use Schaum's to shorten your study time--and get your best test scores!\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSchaum's Outlines\u003c\/strong\u003e--\u003cstrong\u003eProblem solved.\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\u003c\/ul\u003e\u003cul\u003e\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eHwei P. Hsu \u003c\/b\u003ereceived his BS from National Taiwan University and his MS and PhD from Case Institute of Technology. He was a professor of electrical Engineering at Fairleigh Dickinson University, and he is the author of \u003ci\u003eSchaum's Outline of Analog and Digital Communications \u003c\/i\u003eand \u003ci\u003eSchaum's Outline of Probability, Random Variables, and Random Processes.\u003c\/i\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 432\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 10.8 x 8 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 16, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48891911209214,"sku":"9781260453812","price":35.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/kvBOvHzROz9781260453812_c94e6dae-c0f8-4182-a3bc-2b0cc20fc279.webp?v=1788674735"},{"product_id":"ibm-spss-comprehensive-beginners-guide-to-learn-statistics-using-ibm-spss-from-a-z-paperback-2","title":"IBM SPSS: Comprehensive Beginners Guide to Learn Statistics using IBM SPSS from A-Z - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eWalker Schmidt\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eWe live in a world where information takes on a life of its own and spreads rapidly. Faster than ever before. For some people, their lives depend on obtaining a steady stream of information as it affects their lives in the most telling ways. The daily news is the simplest example of this phenomenon. It is truly the lifeblood of society and helps us evolve into better informed individuals with every passing day.As one can tell, information on the whole comes at us from every direction. Its influence on business, politics, and government, banking, the STEM fields, and even the social sciences cannot be understated. But its journey begins with raw data being compiled by means of an experiment or study.In saying that, this book should serve as a reference guide for those who wish to go beyond the basics into territory that requires a solid understanding of advanced statistical concepts. Still, as a beginner, it will be wise to move forward with care so that you solidify your understanding before you begin to use these advanced methods. Finally, even if the subject matter is a bit deep, don't be so serious that you forget to have fun with both the SPSS tool and the study of statistics on the whole.Having said that, let's get to crunching numbers without any further delay!\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 264\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.55 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 03, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48891969700094,"sku":"9781092581981","price":14.83,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/J1a0nIrbXz9781092581981_0ce6a95b-76bf-49b7-b900-4606e706abcd.webp?v=1788674766"},{"product_id":"basics-of-statistics-and-spss-this-book-covers-the-basics-of-statistics-sampling-and-spss-paperback-2","title":"Basics of Statistics and SPSS: This book covers the Basics of Statistics, Sampling and SPSS. - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eFarnaz Abed Ashtiani\u003c\/b\u003e (Author), \u003cb\u003eSeyed Reza Hashemian Rahaghi\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eQuantitative part of research is emphasized by this book and qualitative side is not investigated widely. This book is suitable for who are going to do research and especially for Master of Science students that are out of any knowledge about SPSS. However, having basic computer knowledge is an obligation. Questions are hired in each chapter for introducing clearer understanding of the dilemma and our aim compulsorily is not finding the exact answers for all questions given in different chapters. The name and version of program which is hired in this book is SPSS17 respectively. An overview regarding different stages of doing a research such as sampling and testing the gotten data via SPSS is mentioned during the chapters.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 202\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.43 x 10 x 7.99 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 20, 2011\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892368552190,"sku":"9781461119531","price":13.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/YoWhkwoAL49781461119531_9b6bbf27-ae66-4dd5-ba2f-2b345afcecf8.webp?v=1788678395"},{"product_id":"help-me-a-supplemental-guide-to-statistics-paperback-2","title":"Help Me!: A Supplemental Guide to Statistics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDiana P. Sisson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eDon't freak out! That's the first piece of advice in this brief but indispensable guide to the bewildering world of statistics. Written by a former college statistics tutor, this guide will help you get clear, simple answers to the questions that may seem too simple to bring up in a classroom setting, but are necessary for complete comprehension of the material. Also included are helpful hints on how to read word problem, analyze data, and figure out what on earth it all means (and why you should care).\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 54\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.11 x 9.02 x 5.98 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 05, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892420751614,"sku":"9781482654097","price":7.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/eL4x7iXn-J9781482654097_847b2474-447b-40f5-b5c7-56e8e065d83a.webp?v=1788678421"},{"product_id":"demystifying-factor-analysis-paperback-2","title":"Demystifying Factor Analysis - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eFrank Walkey Garry Welch\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 138\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.32 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 05, 2010\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892554379518,"sku":"9781450007825","price":26.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/JYF-GQvLYU9781450007825_811d1ff5-a948-479a-96a2-e98df774f11a.webp?v=1788678508"},{"product_id":"statistics-corner-questions-and-answers-about-language-testing-statistics-paperback","title":"Statistics Corner: Questions and answers about language testing statistics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJames Sick\u003c\/b\u003e (Foreword by), \u003cb\u003eKimi Kondo-Brown\u003c\/b\u003e (Introduction by), \u003cb\u003eJames Sick\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eJames Dean Brown (\"JD\"), currently Professor of Second Language Studies at the University of Hawaii at Manoa, has lectured and taught around the world and has published numerous articles and books on language testing, curriculum design, research methods, and connected speech. For close to twenty years, Professor Brown has contributed a regular column called Statistics Corner to Shiken, the biannual publication of the Testing and Evaluation Special Interest Group (TEVAL) of the Japan Association for Language Teaching (JALT). In his column, JD answers questions submitted by readers about language testing and statistics in an informal and easy to understand format. This volume brings together in one convenient location, forty-one Statistics Corner columns-updated, arranged thematically, and fully indexed. Presented in a question and answer format, the clear and concise explanations are both accessible to novices and engaging to experts. Topics addressed include: - Second language testing strategies - Likert items and scales of measurement - Validity and reliability of tests and questionnaires - Item analysis techniques for norm-referenced and criterion-referenced tests - Conducting and interpreting principle component and factor analyses - Planning and interpreting qualitative, quantitative, and mixed-methods research - Clear explanations of the meaning and interpretation of frequently reported statistics such as Cronbach's alpha, standard error, confidence intervals, eta squared, Cohen's Kappa, skewness and kurtosis, and more.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 340\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.71 x 9.25 x 7.52 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 25, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892721398014,"sku":"9781537312866","price":40.43,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/q8bgU4TQQT9781537312866.webp?v=1788681986"},{"product_id":"practical-and-clear-graduate-statistics-in-excel-the-excel-statistical-master-paperback","title":"Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMark Harmon\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eComplete and practical yet easy-to-understand graduate-level statistics instruction with ALL of the problems and examples worked out in the accompanying Excel workbooks. Thoroughly covers all topics of an intense graduate statistics course using nothing but step-by-step, simple explanations. Some of the major topics covered with easy-to-follow explanations and fully described and demonstrated in detail in Excel include: 1) ALL types of t-Tests (1-sample, 2-sample pooled and unpooled, and paired) and z tests including verification of ALL required assumptions * 2) Single-variable and multiple regression (includes verification of ALL required assumptions and ALL underlying formulas used to produce Excel regression output) * 3) Logistic regression (Logit and P(X), MLL, Max Log-Likelihood Function, R Square (Cox and Snell and Nagelkerke), variable significance with Likelihood Ratio, Classification Table, Hosmer-Lemeshow) * 4) Normality Tests (Kolmogorov-Smirnov, Anderson-Darlington, Shapiro-Wilk, Automated Histograms) * 5) Single-factor and two-factor ANOVA with and without replication including verification of ALL required assumptions and ALL underlying formulas used to produce Excel ANOVA output * 6) Post-Hoc tests for ANOVA (Tukey's HSD, Tukey-Kramer, Games-Howell) * 7) ANOVA substitute tests (Welch's ANOVA, Brown-Forsythe F test) * 8) Variance comparison tests (F test, Levene's test, Brown-Forsythe test) * 9) Effect size tests (Eta square, RMSSE, Omega square) * 10) Detailed description of calculating test power using the online utility G*Power for all types of tests) * 11) Nonparametric tests (Mann-Whitney U test alternative for 2-sample t-Tests, Wilcoxon Signed-Rank test alternative for 1-sample and paired t-Tests, Kruskal-Wallis test alternative for 1-way ANOVA, Scheirer-Ray-Hare test alternative for 2-way ANOVA, Sign Test) * 11) Chi-Square tests (Goodness-of-Fit, Independence tests, and population variance tests) * 12) Confidence intervals of population means and of population proportions (includes calculation of min sample size and verification of ALL required assumptions) * 13) Combinations and Permutations (many different examples of each) * 14) Correlations - Pearson and Spearman (includes calculation of r Critical and p value of calculated r) * 15) Covariance * 16) Automated histograms, sorting, and charting created with formulas that automatically re-calculate when data changes * 17) Central Limit Theorem demonstrated in Excel * 18) Lots of problems solved in Excel using the following distributions: Normal, t, Binomial, Negative Binomial, F, Chi-Square, Poisson, Exponential, Uniform, Geometric, Beta, Gamma, Hypergeometric, and Multinomial * 19) Instructions to create user-interactive PDF and CDF graphs in Excel for the following distributions: Normal, t, Binomial, Chi-Square, Poisson, Exponential, Uniform, Beta, Gamma, and Hypergeometric * This book is complete and thorough enough for the professional statistician but simple and clear enough for the new statistics student. The reader of this book will become an Excel Statistical Master!\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 1066\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 2.09 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 19, 2012\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892835856638,"sku":"9781937159139","price":89.91,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/Z1KqO_DZg_9781937159139.webp?v=1788683649"},{"product_id":"workbook-of-simplified-statistics-a-maths-self-assessment-guide-paperback","title":"Workbook of Simplified Statistics: A Maths Self-Assessment Guide - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKingsley Augustine\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003ePrepare yourself for high school and college statistics with this simplified Math Practice Workbook. This book is recommended for teachers, parents and students. Each chapter begins with worked examples followed by practice questions. Below each practice question is a space to solve the question. Answers to the practice questions are provided at the end of each chapter. Hence, students can solve questions directly in this workbook and verify the answers at the end of that chapter. This workbook provides school children with comprehensive practice questions that cover a wide range of topics they will encounter in statistics.\u003c\/p\u003e\u003cp\u003eTopics Covered: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCOLLECTION AND TABULATION OF DATA\u003c\/li\u003e\n\u003cli\u003eMEAN, MEDIAN AND MODE OF UNGROUPED DATA\u003c\/li\u003e\n\u003cli\u003eCOLLECTION AND TABULATION OF GROUPED DATA\u003c\/li\u003e\n\u003cli\u003eMEAN, MEDIAN AND MODE OF GROUPED DATA\u003c\/li\u003e\n\u003cli\u003eMEAN DEVIATION\u003c\/li\u003e\n\u003cli\u003eVARIANCE AND STANDARD DEVIATION\u003c\/li\u003e\n\u003cli\u003eQUARTILES AND PERCENTILES BY INTERPOLATION METHOD\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEach topic covers worked examples that are enough to prepare students for the practice questions. The many practice questions along with their answers serve as self assessment guide to the individual student.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 74\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.15 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 07, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892850733310,"sku":"9781691531455","price":17.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/xH6nR2K2Km9781691531455.webp?v=1788683668"},{"product_id":"statistical-tricks-and-traps-an-illustrated-guide-to-the-misuses-of-statistics-paperback","title":"Statistical Tricks and Traps: An Illustrated Guide to the Misuses of Statistics - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEnnis C. Almer\u003c\/b\u003e (Author), \u003cb\u003eLouie Joseph Cantal\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFirst Published in 2017. As an applied branch of mathematics, statistical analysis is straightforward and non- controversial. Yet, there are dangers in using statistics that derive from two sources: Statistical Tricks: These occur when researchers deliberately attempt to mislead their readers. Also Statistical Traps: A researcher falls into a statistical trap when he or she naively or carelessly misapplies statistical methods or employs unsound research methods to generate statistical data. While a trap is not intentional, it can produce highly misleading results. However, this book will teach you what types of important questions researchers should address in their reports, and you will learn to take their results with a large grain of salt if they are not addressed.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eEnnis C. Almer (Author), Louie Joseph Cantal (Illustrations)\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 58\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.2 x 10.7 x 8.3 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 01, 1999\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892891136254,"sku":"9781884585234","price":30.76,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/KF0tqtN2JK9781884585234.webp?v=1788683724"},{"product_id":"statistical-analysis-handbook-hardcover","title":"Statistical Analysis Handbook - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMichael John de Smith\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis Handbook provides a wide-ranging and comprehensive coverage of statistical concepts and methods. It has been designed to be accessible to a wide range of readers - from undergraduates and postgraduates studying statistics and statistical analysis as a component of their specific discipline (e.g. social sciences, earth sciences, life sciences, engineers), to practitioners and professional research scientists. However, it is not intended to be a guide for mathematicians, advanced students studying statistics or for professional statisticians. For students studying for academic or professional qualifications in statistics, the level and content adopted is that of the Ordinary and Higher Level Certificates of the Royal Statistical Society (RSS), offered until 2017. Much of the material included in this Handbook is also appropriate for the Graduate Diploma level also, although we have not sought to be rigorous or excessively formal in our treatment of individual statistical topics, preferring to provide less formal explanations and examples that are more approachable by the non-mathematician with links and references to detailed source materials for those interested in derivation of the expressions provided. The Handbook is much more than a cookbook of formulas, algorithms and techniques. Its aim is to provide an explanation of the key techniques and formulas of statistical analysis, often using examples from widely available software packages. It stops well short, however, of attempting a systematic evaluation of competing software products. A substantial range of application examples is provided, but any specific selection inevitably illustrates only a small subset of the huge range of facilities available. Wherever possible, examples have been drawn from non-academic and readily reproducible sources, highlighting the widespread understanding and importance of statistics in every part of society, including the commercial and government sectors.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 638\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.38 x 10 x 8 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 28, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892898214142,"sku":"9781912556069","price":100.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/me56Udn2fI9781912556069.webp?v=1788683734"},{"product_id":"colorful-statistics-with-basic-steps-in-minitabr-19-paperback","title":"Colorful Statistics with Basic Steps in Minitab(R) 19 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eUsman Zafar Paracha\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eA try to make statistics colorful along with basic Minitab(R) 19 instructions ...It has -Handy illustrations on a huge number of statistical topics with beautiful colors-Some of the new illustrations in this book are \"Meta-analysis\", \"Mood's Median Test\", \"Tolerance interval\", \"Prediction interval\", \"outliers\", \"effect size\", \"survival analysis\", and \"Pareto Chart\".- It also contains basic assumptions to conduct non-parametric and parametric tests. -Bonus topics, such as \"Meta-analysis\" \"Important Statistical Techniques\/Procedures used in Medical Sciences,\" \"Most commonly used non-normal distributions in health, education, and social sciences,\" \"Decision tree for statistical tests,\" and some other topics\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 360\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.94 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 15, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48892913582334,"sku":"9781686592348","price":110.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/X4EEwkAXDH9781686592348.webp?v=1788683754"},{"product_id":"lite-statistics-with-basic-steps-in-minitabr-19-paperback-2","title":"Lite Statistics with Basic Steps in Minitab(R) 19 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eUsman Zafar Paracha\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book is a try to make statistics easy-to-understand along with basic Minitab(R) 19 instructions ...It hasThe statistics-related topics can be found in the table of contents.N.B. It has lower price as compared to \"Colorful Statistics with Basic Steps in Minitab(R) 19\", but almost similar information as that book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 302\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.63 x 11.02 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 07, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48893185851646,"sku":"9798664308976","price":60.1,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/GcvfN9TdT69798664308976_7962737c-7621-4429-b5bb-cb101022bc61.webp?v=1788688035"},{"product_id":"teach-yourself-econometric-data-analysis-with-eviews-step-by-step-guide-from-basic-to-advance-econometrics-statistics-in-practice-paperback-2","title":"Teach Yourself Econometric Data Analysis with EViews: Step by Step Guide From Basic to Advance: Econometrics \u0026 Statistics in Practice - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eChukwuemeka Tiptop Okoro\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThere is a large group of people in a variety of fields, including finance, economics, accounting, science, mathematics, engineering, statistics, and public policy who need to understand some basic concepts of time series analysis and forecasting. Analyzing time-series data and forecasting future values of a time series are among the most important problems that analysts face in many fields. But to Successfully analyze this time series data requires that the analyst interact with computer software because the techniques and algorithms are just not suitable to manual calculations.This book has been written with the aim of solving this problems by providing a step-by-step guide to economic and financial econometrics using EViews. It contains a brief overviews of the concepts of econometric models, and data analysis techniques followed by procedures of how they can be implemented in EViews. This book is written as a compendium for undergraduate and graduate students in economics, finance, statistics and accounting. It can also serve as a guide for researchers and practitioners who desire to use EViews for analyzing financial data. This book may be used as a textbook companion for post graduate level courses in time series analysis, empirical finance, statistics and financial econometrics. Since, many organizations can improve their effectiveness and business results by making better short-to-medium term forecasts, this book should be useful to a wide variety of professionals. Topics Covered with examples Include: Chapter 1: Introduction to EViews. Chapter 2: Descriptive Statistics and Preliminary Tests. Chapter 3: Running Regression Analysis in EViews. Chapter 4: Forecasting Using Regression Models. Chapter 5: Economic Forecasting using ARIMA Modelling. Chapter 6: Volatility Modeling: ARCH, GARCH and EGARCH Models. An Introduction to Financial Econometrics. Chapter 7: Vector Autoregressive (VAR) Model. An Introduction to Macroeconometrics. Chapter 8: Vector Error Correction Model (VECM). Chapter 9: Autoregressive Distributed Lag Model (ARDL). Chapter 10: Panel Data Analysis\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 250\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.53 x 10 x 7.01 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 18, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48893186277630,"sku":"9798623243720","price":49.93,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/files\/LAx9BIkywM9798623243720_7121109d-368c-4945-8c81-89be0201ab35.webp?v=1788688035"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0826\/8716\/4670\/collections\/WwI4jNfsYX9780198943136.webp?v=1790883213","url":"https:\/\/123learningstore.com\/collections\/statistics.oembed?page=6","provider":"123 Learning Store","version":"1.0","type":"link"}