How to Gamble If You Must pdf epub mobi txt 電子書 下載2025
- 概率論
- 數學
- gamble
- 教材
- textbook
- gametheory
- NNT
- 賭博策略
- 概率論
- 決策理論
- 數學模型
- 風險管理
- 期望值
- 隨機過程
- 博弈論
- 心理博弈
- 財富增長
具體描述
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.
著者簡介
Lester E. Dubins (1920–2010) was Professor of Mathematics at the University of California, Berkeley, from 1962 to 2004.
Leonard J. Savage (1917–1971) was a mathematician and statistician who taught at several universities, including Princeton, Yale, and Columbia. His other Dover book is The Foundation of Statistics.
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.
圖書目錄
讀後感
評分
評分
評分
評分
用戶評價
相關圖書
本站所有內容均為互聯網搜索引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 book.quotespace.org All Rights Reserved. 小美書屋 版权所有