How to Gamble if You Must: Inequalities for Stochastic Processes

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9780070178724: How to Gamble if You Must: Inequalities for Stochastic Processes

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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About the Author:

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.

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Dubins, L.E.; Savage, Leonard J.
Published by McGraw-Hill Book Company (2009)
ISBN 10: 0070178720 ISBN 13: 9780070178724
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Book Description McGraw-Hill Book Company, 2009. Hardcover. Book Condition: Used: Good. We ship International with Tracking Number! May not contain Access Codes or Supplements. Buy with confidence, excellent customer service! L. Bookseller Inventory # 0070178720D

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