Probability and Measure
Language: English
Published by Wiley-Interscience, 1995
- Hardcover
- Used
Seller: Rotary Charity Books, Albert Park, VIC, AustraliaRotary Charity Books
AbeBooks seller since March 1, 2022
Condition: Used - Fine
£ 32.12
Quantity: 1 available
Add to basketItem description from seller
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. 593pp.
Seller Inventory # 2277
- Title
- Probability and Measure
- Author
- Billingsley, Patrick
- Publisher
- Wiley-Interscience
- Publication year
- 1995
- Condition
- Fine
- Dust jacket
- No Jacket
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471007102
- ISBN 13
- 9780471007104
- Edition
- 3rd Edition
- Item weight
- 1.027 kilograms
- Dimensions
- 16.31 centimeters width by 24.26 centimeters height by 3.4 centimeters depth
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.
About the Author
"About the title" may belong to another edition of this title.
Rotary Charity Books
Albert Park, VIC, Australia
AbeBooks seller since March 1, 2022
Shipping rates from Australia to U.S.A.
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