|aProbability :|btheory and examples /|cRick Durrett.
250
|a4th ed.
260
|aNew York :|bCambridge University Press,|cc2010.
300
|ax, 428 p. :|bill. ;|c27 cm.
490
1
|aCambridge series in statistical and probabilistic mathematics
504
|aIncludes bibliographical references (p. 419-424) and index.
520
|a"This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems"--|cProvided by publisher.
650
0
|aProbabilities.
830
0
|aCambridge series on statistical and probabilistic mathematics.
This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic ...