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How to Gamble If You Must

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How to Gamble If You Must

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Description

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.

Author Biography:

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.
Release date Australia
September 26th, 2014
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Pages
304
Dimensions
15x215x140
ISBN-13
9780486780641
Product ID
21991626

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