How to Gamble if You Must: Inequalities for Stochastic Processes - Hardcover
This classic of advanced statistics is geared toward graduate-level readers and uses the concepts of gambling to develop important ideas in probability theory. Revised and updated, it features contributions from two well-known statisticians, including a new Introduction, updated references, and findings from recent research. "Strongly recommended." ― Journal of the American Statistical Association. 2014 edition.
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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.
"See every Dover book in print at
www.doverpublications.com
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.
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.
"About this title" may belong to another edition of this title.
- PublisherMcGraw-Hill Inc.,US
- Publication date1965
- ISBN 10 0070178720
- ISBN 13 9780070178724
- BindingHardcover
- Number of pages249
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How to Gamble if You Must: Inequalities for Stochastic Processes
Published by
McGraw-Hill Inc.,US
(1965)
ISBN 10: 0070178720
ISBN 13: 9780070178724
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Hardcover
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Book Description Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Couverture légèrement déchirée. Salissures sur la tranche. Couverture différente. Edition 1965. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Slightly torn cover. Stains on the edge. Different cover. Edition 1965. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-591-003
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