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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
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