🎉 Up to 70% Off Selected ItemsShop Sale
How to Gamble If You Must
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.
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.
Revised and updated reprint of the Dover, 1976 edition.
dover books, dover books on mathematics, statistical mathematics, probability mathematics, probability and statistics, probability, statistics, advanced statistics, statistical association, mathematical theory, how to gamble, gambling, gambling science, scientific gambling, beating the odds, against the odds, engaging, lively, gambling and gamblers, realistic, career, theoretical;mathematics; probability; mathematics of gambling; stochastic processes; Bayesian statistics$7.00
Original: $20.00
-65%How to Gamble If You Must—
$20.00
$7.00Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
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.
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.
Revised and updated reprint of the Dover, 1976 edition.
dover books, dover books on mathematics, statistical mathematics, probability mathematics, probability and statistics, probability, statistics, advanced statistics, statistical association, mathematical theory, how to gamble, gambling, gambling science, scientific gambling, beating the odds, against the odds, engaging, lively, gambling and gamblers, realistic, career, theoretical;mathematics; probability; mathematics of gambling; stochastic processes; Bayesian statistics
