Probability : theory and examples /

"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. It...

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Bibliográfalaš dieđut
Váldodahkki: Durrett, Richard, 1951-
Materiálatiipa:
Giella:eng
Almmustuhtton: Cambridge ; New York : Cambridge University Press, 2010
Fáttát:
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author Durrett, Richard, 1951-
author_facet Durrett, Richard, 1951-
author_sort Durrett, Richard, 1951-
collection OCEAN
description "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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institution Universiti Teknologi Malaysia - OCEAN
language eng
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publisher Cambridge ; New York : Cambridge University Press,
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spelling KOHA-OAI-TEST:4538952020-12-19T17:16:32ZProbability : theory and examples / Durrett, Richard, 1951- Cambridge ; New York : Cambridge University Press,2010eng"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"--Includes bibliographical references and indexMeasure theory -- Laws of large numbers -- Central limit theorems -- Random walks -- Martingales -- Markov chains -- Ergodic theorems -- Brownian motion -- Appendix A. Measure theory details."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"--PSZJBLProbabilitiesURN:ISBN:9780521765398 (hbk.)
spellingShingle Probabilities
Durrett, Richard, 1951-
Probability : theory and examples /
title Probability : theory and examples /
title_full Probability : theory and examples /
title_fullStr Probability : theory and examples /
title_full_unstemmed Probability : theory and examples /
title_short Probability : theory and examples /
title_sort probability theory and examples
topic Probabilities
work_keys_str_mv AT durrettrichard1951 probabilitytheoryandexamples