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Originally published in 1965 under title: How to gamble if you must Bibliography: p. [233]-243 Includes indexes Access-restricted-item true Addeddate 2024-02-23 12:12:54 Associated-names Savage, Leonard J., joint author Autocrop_version ..17_books-serials-20230720-.3.
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Excellent reference book for the SERIOUS student of "gambling" and gaming 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.
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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.
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time. Obviously you can win exactly half the time by always stopping with the first number, or always stopping with the second, without even peeking. But to win more than half the time, you must find a way to use information from the first number to decide whether or not to stop. (Readers take comfort: When
If You Must Gamble by LENIHAN, Maurice Good Hardcover (1946) Between the CoversRare Books
Yet, gamble you must or forgo all chance of the great purpose that can be achieved only at the price of $10, 000 payable at dawn. The question is how to play, not whether. As is well known, any policy of compounding bets that are subfair to you must decrease your expected wealth. Consequently, no matter how you play, your chance of converting.
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You will need familiarity with graduate-level maths to follow and understand the emerging probability theory and the many explorations and conclusions. Read more. Report. Amazon Customer. 1.0 out of 5 stars useless technical. Reviewed in the United Kingdom on January 15, 2018. Verified Purchase.
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How to Gamble If You Must. In red and black, a player bets, at even stakes, on a sequence of independent games with success probability p, until she either reaches a fixed goal or is ruined. In this article we explore two strategies: timid play in which the gambler makes the minimum bet on each game, and bold play in which she bets, on each.
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How to Gamble If You Must ( and if you really hate to gamble ) Robert W. Chen I. Grigorescu L. Shepp. Mathematics. 2009. You are in a sub-fair casino, with fortune f0 ∈ (0, 1), and you want to turn it into a fortune of size one in discounted time. You may stake any amount, sn, 0 < sn ≤ fn and at any odds, rn > 0, if…. Expand.
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a stop rule that stops with the highest value with probability at least 1/e, and. a stop rule that stops with one of the. two highest values with probability. at least e~VI(l+V2) = 0.59, which is the best you can do. (The probabilities for. stopping with one of the k values high.
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Its 12 well-researched chapters comprehensively cover casino gambling, the problems facing gamblers and the strategies then can be best adopted. This is not a chatty how-to-win book, but a serious work of mathematical rigor complete with numerous theorems and lemmas. You will need familiarity with graduate-level maths to follow and understand.
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Click here to join. 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.
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A gamble is a probability measure on subsets of fortunes, and a gambling house is a function that associates with each \(f\) a set of gambles from which the gambler is allowed to choose when his fortune is \(f\). A model of gambling strategy is gradually developed as a finitely-additive, discrete time stochastic process.
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Yet, gamble you must or forgo all chance of the great purpose that can be achieved only at the price of $10, 000 payable at dawn. The question is how to play, not whether. As is well known, any policy of compounding bets that are subfair to you must decrease your expected wealth. Consequently, no matter how you play, your chance of converting.
IF YOU MUST GAMBLE. Signed by Maurice Lenihan Maurice Lenihan First Edition
application well beyond gambling. The exposition (and the title of the article) are based primarily on the classic book Inequalities for Stochastic Processes; How to Gamble if You Must, by Lester E. Dubbins and Leonard (Jimmie) Savage [1]. The article and applets are adapted from material in Virtual Laboratories in Probability and Statistics [4].
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Our title comes from a famous book by Lester Dubbins and Leonard Savage, which appeared at the beginning of the Bayesian Theoretical Resurgence (late 1970s),.
Douglas Sirk Quote “And in movies you must be a gambler. To produce films is to gamble.”
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.
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