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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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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Book Description McGraw-Hill Book Company, 1965. Book Condition: Good. 1st. N/A. Ships from the UK. Former Library book. Shows some signs of wear, and may have some markings on the inside. Bookseller Inventory # GRP80424489