Probability

Probability

Theory and Examples, Fourth Edition

eBook - 2010
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This classic introduction to probability theory for beginning graduate students covers 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. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
Publisher: Cambridge ; New York : Cambridge University Press, 2010 (Norwood, Mass. : Books24x7.com [generator])
Edition: 4th ed
ISBN: 0521765390
9780521765398
Additional Contributors: Books24x7, Inc

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