Items related to Probability and Measure Theory
Synopsis
Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion.
- Clear, readable style
- Solutions to many problems presented in text
- Solutions manual for instructors
- Material new to the second edition on ergodic theory, Brownian motion, and convergence theorems used in statistics
- No knowledge of general topology required, just basic analysis and metric spaces
- Efficient organization
"synopsis" may belong to another edition of this title.
About the Author
Robert B. Ash as written about, taught, or studied virtually every area of mathematics. His books include Information Theory, Topics in Stochastic Processes, The Calculus Tutoring Book, Introduction to Discrete Mathematics, and A Primer of Mathematics.
"About this title" may belong to another edition of this title.
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Probability and Measure Theory
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Probability and Measure Theory
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Probability and Measure Theory
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Probability and Measure Theory
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Probability & Measure Theory
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Probability and Measure Theory
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Academic Press 1999-12-08, 1999
ISBN 10: 0120652021
ISBN 13: 9780120652020
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Probability & Measure Theory
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Probability & Measure Theory, Second Edition
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Probability and Measure Theory
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Elsevier Science & Technology, Academic Press, 1999
ISBN 10: 0120652021
ISBN 13: 9780120652020
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion. Englisch. Seller Inventory # 9780120652020
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Probability and Measure Theory
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