Probability: Theory and Examples

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Cambridge University Press, 2010 - Mathematics - 428 pages
"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"--

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User Review  - intangineer - LibraryThing

The index is terrible, but once you've read it it's an excellent reference. Read full review

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