How to Gamble If You Must: Inequalities for Stochastic Processes
(Paperback)
Publishing Details
How to Gamble If You Must: Inequalities for Stochastic Processes
By (Author) Lester E. Dubins
By (author) Ted Kooser
Dover Publications Inc.
Dover Publications Inc.
26th September 2014
United States
Classifications
Tertiary Education
Non Fiction
Probability and statistics
519.23
Physical Properties
Paperback
304
Width 15mm, Height 215mm, Spine 140mm
3560g
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 Bio
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.
