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The Theory of Gambling and Statistical Logic, Revised Edition by Richard A. Epstein

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Richard Espstein's classic book on gambling and its mathematical analysis covers the full range of games from penny matching, to blackjack and other casino games, to the stock market (including Black-Scholes analysis). Epstein is witty and insightful, a pleasure to dip into and read and rewarding to study.

Paperback

First published January 1, 1977

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About the author

Richard A. Epstein

1 book3 followers
Richard Arnold Epstein (March 5, 1927 in Los Angeles, California – July 5, 2016), also known under the pseudonym E.P. Stein , was an American game theorist.

Source: Wikipedia

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5 stars
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4 stars
16 (36%)
3 stars
13 (29%)
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4 (9%)
Displaying 1 - 4 of 4 reviews
Profile Image for Justin Yeary.
19 reviews8 followers
May 18, 2012
This isn't goign to teach you to become a professional gambler, a master card-counter or a poker pro. if you want to buy the text for that purpose, save your money and look elsewhere. However, what this book IS good for is for giving a concise yet thorough and mathematically rigorous treatment of all sorts of gambles and games of chance. If a game is in a casino, there's probably a chapter on that game in this book. For those with an interest in mathematics and want to see how mathematics is applied to casino gambling and games of chance, this is a great book.
Profile Image for Tim Clouse.
58 reviews1 follower
September 11, 2013
An update of the first edition, that was published in 1967. The second edition adds and subtracts quite a bit of material. Get both if you can, as they complement each other.

Additional Second Edition Errata-- in what is in the book, the formula for Binomial Distribution on page 19 (equation 2-11) should be (p^r)*(p^(n-r)), NOT (p^r)*(p^(n-1)).
Profile Image for Luiz Costa.
3 reviews
November 4, 2025
A dense but insightful exploration of the math behind gambling. Interesting for theory lovers, but too technical for casual readers.
10 reviews
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March 16, 2019
The topic and (numerous) examples are great, but it'd be a bit tedious to read through the book. It's like a problem set for financial engineering interview.
Displaying 1 - 4 of 4 reviews

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