Durrett, Richard,  4  0  1951- <br/><br/>
Probability :  theory and examples /      6 
       6     
Rick Durrett. 
 - Fourth edition.   
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 - x, 428 pages :  illustrations   27 cm.     
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 - Cambridge series in statistical and probabilistic mathematics     .
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 - Cambridge series on statistical and probabilistic mathematics.  0       .
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<br/><br/>Includes bibliographical references and index. 
<br/><br/>Measure theory -- Laws of large numbers -- Central limit theorems -- Random walks -- Martingales -- Markov chains -- Ergodic theorems -- Brownian motion -- Appendix A. Measure theory details.       
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<br/><br/> 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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<br/><br/><label>ISBN: </label>9780521765398 (hardback)   
<br/><br/><label>ISSN: </label>2 
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<br/><br/><label>LCCN: </label>2010013387 
<br/><br/><label>Nat. Bib. No.: </label>GBB0B4751    bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>15655196    Uk 
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<br/><br/><label>Subjects--Topical Terms: </label><br/>Probabilities.    --------20--
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<br/><br/><label>Index Terms--Genre/Form: </label><br/>----2
<br/><br/><label>LC Class. No.: </label>QA273  / .D865 20102 
<br/><br/><label>Dewey Class. No.: </label>519.2 D938p 2010  / 222 
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