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Probability 4th Edition Hardback: Theory and Examples (Cambridge Series in Statistical and Probabilistic Mathematics) - Tapa dura
Sinopsis
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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Acerca del autor
Rick Durrett received his PhD in Operations Research from Stanford University in 1976. After nine years at UCLA and twenty-five at Cornell University, he moved to Duke University in 2010, where he is a Professor of Mathematics. He is the author of eight books and more than 170 journal articles on a wide variety of topics, and he has supervised more than 40 PhD students. He is a member of the National Academy of Science and the American Academy of Arts and Sciences and a Fellow of the Institute of Mathematical Statistics.
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Probability: Theory and Examples (Cambridge Series in Statistical and Probabilistic Mathematics)
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Cambridge University Press (edition 4), 2010
ISBN 10: 0521765390
ISBN 13: 9780521765398
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Probability: Theory and Examples (Cambridge Series in Statistical and Probabilistic Mathematics)
Publicado por
Cambridge University Press, 2010
ISBN 10: 0521765390
ISBN 13: 9780521765398
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Probability: Theory and Examples
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Cambridge University Press, 2010
ISBN 10: 0521765390
ISBN 13: 9780521765398
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Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780521765398. Nº de ref. del artículo: 4124730
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Probability: Theory and Examples (Cambridge Series in Statistical and Probabilistic Mathematics)
Publicado por
Cambridge University Press, 2010
ISBN 10: 0521765390
ISBN 13: 9780521765398
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