Probability and Measure (Probability & Mathematical Statistics S.)
Language: English
Published by John Wiley & Sons Inc, 1979
Series: Book 234 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used
Condition: Used - Very good
US$ 115.74
Quantity: 1 available
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Zustand: Gut | Seiten: 532 | Produktart: Bücher | Keine Beschreibung verfügbar.
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- Title
- Probability and Measure (Probability & Mathematical Statistics S.)
- Author
- Billingsley, Patrick
- Publisher
- John Wiley & Sons Inc
- Publication year
- 1979
- Condition
- Gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471031739
- ISBN 13
- 9780471031734
- Series
- Book 234 of 358: Wiley Series in Probability and Statistics
- Seller catalogs
- Bücher
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
"About the title" may belong to another edition of this title.
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| Item | 60 to 60 business days | 60 to 60 business days |
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