Basic Gambling Mathematics

Author:   Mark Bollman (Albion College, Albion, Michigan, USA)
Publisher:   CRC Press
ISBN:  

9781322632353


Pages:   278
Publication Date:   01 January 2014
Format:   Electronic book text
Availability:   Available To Order   Availability explained
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Basic Gambling Mathematics


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Author:   Mark Bollman (Albion College, Albion, Michigan, USA)
Publisher:   CRC Press
Imprint:   CRC Press
ISBN:  

9781322632353


ISBN 10:   1322632359
Pages:   278
Publication Date:   01 January 2014
Audience:   General/trade ,  General
Format:   Electronic book text
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

Mark Bollman has written a wonderfully illuminating and accessible survey of the mathematics behind gambling. Firmly grounding his analysis in the historical and social context of the games, Bollman is able to explain both the theory behind the games and the practical application of that theory in a range of games, including not only the casino standbys of roulette, craps, and blackjack, but also new variations on those games. The included exercises give readers a chance to work out problems for themselves, which will undoubtedly enhance the usefulness of this book. This is a fantastic guide to gambling math, both for the beginner and the experienced gambler (or mathematician). As Bollman s math proves, there s rarely a sure bet, but Basic Gambling Mathematics comes pretty close. David G. Schwartz, University of Nevada, Las Vegas Basic Gambling Mathematics: The Numbers Behind the Neon is a must-have book for anyone interested in gambling mathematics. It not only covers all of the most popular casino games (blackjack, craps, roulette, keno), but is also a treasure trove of fascinating variants and novel games from casinos all over the world. Professors, students, and general gambling enthusiasts will all find something to capture their attention. Mike Ferrara, Associate Professor and Graduate Program Director, Department of Mathematical and Statistical Sciences, University of Colorado Denver


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