{"product_id":"probability-decisions-and-games-a-gentle-introduction-using-r-9781119302605","title":"Probability, Decisions and Games: A Gentle Introduction Using R","description":"\u003cp\u003e\u003cb\u003eIntroduces the fundamentals of probability, statistics, decision theory, and game theory, and features interesting examples of games of chance and strategy to motivate and illustrate abstract mathematical concepts\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCovering both random and strategic games, \u003ci\u003eProbability, Decisions and Games\u003c\/i\u003e features a variety of gaming and gambling examples to build a better understanding of basic concepts of probability, statistics, decision theory, and game theory. The authors present fundamental concepts such as random variables, rational choice theory, mathematical expectation and variance, fair games, combinatorial calculus, conditional probability, Bayes Theorem, Bernoulli trials, zero-sum games and Nash equilibria, as well as their application in games such as Roulette, Craps, Lotto, Blackjack, Poker, Rock-Paper-Scissors, the Game of Chicken and Tic-Tac-Toe. Computer simulations, implemented using the popular R computing environment, are used to provide intuition on key concepts and verify complex calculations.\u003c\/p\u003e \u003cp\u003eThe book starts by introducing simple concepts that are carefully motivated by the same historical examples that drove their original development of the field of probability, and then applies those concepts to popular contemporary games. The first two chapters of \u003ci\u003eProbability, Decisions and Games: A Gentle Introduction using R\u003c\/i\u003e feature an introductory discussion of probability and rational choice theory in finite and discrete spaces that builds upon the simple games discussed in the famous correspondence between Blaise Pascal and Pierre de Fermat. Subsequent chapters utilize popular casino games such as Roulette and Blackjack to expand on these concepts illustrate modern applications of these methodologies. Finally, the book concludes with discussions on game theory using a number of strategic games. This book: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eFeatures introductory coverage of probability, statistics, decision theory and game theory, and has been class-tested at University of California, Santa Cruz for the past six years\u003c\/li\u003e \u003cli\u003eIllustrates basic concepts in probability through interesting and fun examples using a number of popular casino games: roulette, lotto, craps, blackjack, and poker\u003c\/li\u003e \u003cli\u003eIntroduces key ideas in game theory using classic games such as Rock-Paper-Scissors, Chess, and Tic-Tac-Toe.\u003c\/li\u003e \u003cli\u003eFeatures computer simulations using R throughout in order to illustrate complex concepts and help readers verify complex calculations\u003c\/li\u003e \u003cli\u003eContains exercises and approaches games and gambling at a level that is accessible for readers with minimal experience\u003c\/li\u003e \u003cli\u003eAdopts a unique approach by motivating complex concepts using first simple games and then moving on to more complex, well-known games that illustrate how these concepts work together\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eProbability, Decisions and Games: A Gentle Introduction using R\u003c\/i\u003e is a unique and helpful textbook for undergraduate courses on statistical reasoning, introduction to probability, statistical literacy, and quantitative reasoning for students from a variety of disciplines.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Abel Rodríguez, Bruno Mendes\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/24\/2018\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 240\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.85lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 8.90h x 5.90w x 0.50d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781119302605\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eABEL RODRÍGUEZ, PHD, \u003c\/b\u003e is Professor in the Department of Applied Mathematics and Statistics at the University of California, Santa Cruz (UCSC), CA, USA. The author of 40 journal articles, his research interests include Bayesian nonparametric methods, machine learning, spatial temporal models, network models, and extreme value theory. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eBRUNO MENDES, PHD, \u003c\/b\u003e is Lecturer in the Department of Applied Mathematics and Statistics at the University of California, Santa Cruz, CA, USA.\u003cbr\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Paperback","offer_id":41297832149107,"sku":"9.78112E+12","price":78.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_b992cbc9-6d90-4e27-a5b3-b023f6f7d192.jpg?v=1706109464","url":"https:\/\/bookstorenmore.com\/products\/probability-decisions-and-games-a-gentle-introduction-using-r-9781119302605","provider":"Bookstore N More","version":"1.0","type":"link"}