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Modern and measure-theory based, this text is intended primarily for the first-year graduate course in probability theory.
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This classic introduction to probability theory for beginning graduate students covers 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. The new edition begins with a short chapter on measure theory to orient readers new to the subject.About the Author:
Ph.D. Stanford University
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Book Description Duxbury Press. Hardcover. Condition: New. 0534243185 New Condition. Seller Inventory # NEW7.1147726
Book Description Duxbury Press, 1995. Hardcover. Condition: New. Never used!. Seller Inventory # P110534243185