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...

Πλήρης περιγραφή

Κύριος συγγραφέας: Durrett, Richard, 1951-
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:
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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. 
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