How to Gamble If You Must: Inequalities for Stochastic Processes (Dover Books on Mathematics)

By: Leonard J. Savage and Prof. William Sudderth and Lester E. Dubins and Prof. David Gilat

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Synopsis: This classic of advanced statistics is geared toward graduate-level readers and uses the concepts of gambling to develop important ideas in probability theory. The authors have distilled the essence of many years' research into a dozen concise chapters. "Strongly recommended" by the Journal of the American Statistical Association upon its initial publication, this revised and updated edition features contributions from two well-known statisticians that include a new Preface, updated references, and findings from recent research. Following an introductory chapter, the book formulates the gambler's problem and discusses gambling strategies. Succeeding chapters explore the properties associated with casinos and certain measures of subfairness. Concluding chapters relate the scope of the gambler's problems to more general mathematical ideas, including dynamic programming, Bayesian statistics, and stochastic processes.

Book Quality:: Publisher Quality
ISBN-13:: 9780486796086
Related ISBNs:: 9780486780641
Publisher:: Dover Publications
Date of Addition:: 05/16/18
Copyrighted By:: Prof. William Sudderth, Lester E. Dubins, Leonard J. Savage, Prof. David Gilat
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.