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Probability : Theory and Examples - 4th edition

Probability : Theory and Examples (ISBN10: 0521765390; ISBN13: 9780521765398)
ISBN13: 978-0521765398
ISBN10: 0521765390

Summary: 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 new edition begins with
a short chapter on measure theory to orient readers new to the subject.
...show more
Summary: 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 new edition begins with a short chapter on measure theory to orient readers new to the subject. ...show less

Edition/Copyright: 4TH 10
Cover: Hardback
Publisher: Cambridge University Press
Year Published: 2010
International: No



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