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...
Κύριος συγγραφέας: | Durrett, Richard, 1951- |
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Μορφή: | Βιβλίο |
Γλώσσα: | English |
Στοιχεία έκδοσης: |
Cambridge ; New York :
Cambridge University Press,
2010.
|
Έκδοση: | 4th ed. |
Σειρά: |
Cambridge series in statistical and probabilistic mathematics.
|
Ταξινομικός αριθμός: |
519.2 DUR |
Θέματα: | |
Ετικέτες: |
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LEADER | 01674cam a2200277 a 4500 | ||
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001 | 1/44026 | ||
008 | 131107s2010 enka b 001 0 eng | ||
020 | |a 9780521765398 (hardback) | ||
020 | |a 0521765390 (hardback) | ||
035 | |l 46960 | ||
040 | |a DLC |c DLC |d C#P |d CDX |d BWX |d UKM |d YDXCP |d GR-PeUP | ||
082 | 0 | 0 | |a 519.2 DUR |
100 | 1 | |a Durrett, Richard, |d 1951- | |
245 | 1 | 0 | |a Probability : |b theory and examples / |c Rick Durrett. |
250 | |a 4th ed. | ||
260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2010. | ||
300 | |a x, 428 σ. : |b εικ. ; |c 27 εκ. | ||
490 | 1 | |a Cambridge series in statistical and probabilistic mathematics ; | |
520 | |a "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"-- | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Measure theory -- Laws of large numbers -- Central limit theorems -- Random walks -- Martingales -- Markov chains -- Ergodic theorems -- Brownian motion -- Appendix A. Measure theory details. | |
650 | 4 | |a Probabilities. | |
830 | |a Cambridge series in statistical and probabilistic mathematics. | ||
852 | |a INST |b UNIPILB |c MAIN |e 20131107 |h 519.2 DUR |p 00169943 |q 00169943 |t STATIST |y 0 |4 1 | ||
856 | 4 | |d /webopac/covers/03/46960_9780521765398.jpg |z (hardback) | |
856 | 4 | |d /webopac/covers/03/46960_0521765390.jpg |z (hardback) |