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Probability : theory and examples / Rick Durrett.

Author : Durrett, Richard, 1951-

Imprint - publication informationCambridge ; New York : Cambridge University Press, 2010.

Note: ContentsMeasure theory -- Laws of large numbers -- Central limit theorems -- Random walks -- Martingales -- Markov chains -- Ergodic theorems -- Brownian motion -- Appendix A. Measure theory details.

Abstract:"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"-- Provided by publisher.

Physical description :x, 428 p. : ill. ; 27 cm.

Edition :4th ed.

Bibliographic informationIncludes bibliographical references and index.



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Author :
Durrett, Richard, 1951-
Subject:
Probabilities.
Uniform Title
Cambridge series on statistical and probabilistic mathematics.