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How to Gamble If You Must: Inequalities for Stochastic Processes Paperback – Illustrated, 26 September 2014
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From the Back Cover
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.
Dover (2014) revised and updated republication of the 1976 Dover edition entitled Inequalities for Stochastic Processes.
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About the Author
William Sudderth is a Professor in the School of Statistics at the University of Minnesota. David Gilat is a Professor in the School of Mathematical Sciences at Tel Aviv University.
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Most helpful customer reviews on Amazon.com
This book is not for the faint of heart despite a sentence in the introduction saying familiarity with probability is unneeded. The book is for mathematically inclined and familiarity with the jargon is necessary. Set theory and advanced concepts in math are thrown around from the start. That said for the right audience this book is a nice read. Written with a conversational style and less focus on pure theorem printing than could be found elsewhere. Interesting conclusions but definitely not for the average reader.
strategies. This is a graduate-level treatment and not for the casual
reader. Don't expect a quick and easy guide to "beat the casino".
But, for those interested in the theoretical underpinnings of gambling, this book will provide insights not readily found elsewhere.