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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| Materiálatiipa: | |
| Giella: | eng |
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Cambridge ; New York : Cambridge University Press,
2010
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| Fáttát: |
| _version_ | 1826447443826311168 |
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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"-- |
| first_indexed | 2024-03-05T11:11:30Z |
| format | |
| id | KOHA-OAI-TEST:453895 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T11:11:30Z |
| publishDate | 2010 |
| publisher | Cambridge ; New York : Cambridge University Press, |
| record_format | dspace |
| 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 |