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How to Gamble If You Must: Inequalities for Stochastic Processes
Paperback / softback
Main Details
| Title |
How to Gamble If You Must: Inequalities for Stochastic Processes
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| Authors and Contributors |
By (author) Lester E. Dubins
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| Series | Dover Books on Mathematics |
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| Physical Properties |
| Format:Paperback / softback | | Pages:304 | | Dimensions(mm): Height 216,Width 140 |
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| Category/Genre | Probability and statistics |
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| ISBN/Barcode |
9780486780641
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| Classifications | Dewey:519.23 |
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| Audience | |
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Publishing Details |
| Publisher |
Dover Publications Inc.
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| Imprint |
Dover Publications Inc.
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| Publication Date |
26 September 2014 |
| Publication Country |
United States
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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.
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