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Probability and Measure
by Patrick Billingsley
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This edition published in 1995 by WileyInterscience in New York, USA.
Written in English
— 593 pages
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.
back cover
Subjects
Probabilities, Measure theoryPreviews available in: English
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Probability and Measure
First published in 1979
Subjects
Probabilities, Measure theoryWork Description
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.
back cover
Excerpts
Classifications
Dewey  519.2 
Probability and Measure
This edition published in 1995 by WileyInterscience in New York, USA.
Edition Description
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.
back cover
Edition Notes
Includes bibliographical references (p. 581583) and index.
"A WileyInterscience publication."
Classifications
History
 Created April 1, 2008
 17 revisions
August 12, 2020  Edited by ImportBot  import existing book 
July 26, 2019  Edited by Lisa  Added edition details from personal copy. 
July 26, 2019  Edited by Lisa  Added new cover 
July 26, 2019  Edited by Lisa  Update covers 
April 1, 2008  Created by an anonymous user  Imported from Scriblio MARC record. 