Cover of: Probability and Measure | Patrick Billingsley
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August 12, 2020 | History
An edition of Probability and Measure (1979)

Probability and Measure

3rd ed.
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This edition published in by Wiley-Interscience 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

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Previews available in: English

Edition Availability
Cover of: Probability and Measure
Probability and Measure
2012, Wiley & Sons, Incorporated, John
in English
Cover of: Probability and Measure
Probability and Measure
2012, Wiley & Sons, Incorporated, John
in English
Cover of: Probability and measure
Probability and measure
2012, Wiley
in English - Anniversary ed.
Cover of: Probability and Measure
Probability and Measure
1995, Wiley-Interscience
Hardcover in English - 3rd ed.
Cover of: Probability and measure
Probability and measure
1986, Wiley
in English - 2nd ed.
Cover of: Probability and measure
Probability and measure
1979, Wiley
in English

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Probability and Measure

First published in 1979



Work 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

Although sufficient for the development of many interesting topics in mathematical probability, the theory of discrete probability spaces does not go far enough for the rigorous treatment of problems of two kinds: those involving an infinitely repeated operation, as an infinite sequence of tosses of a coin, and those involving an infinitely fine operation, as the random drawing of a point from a segment.
added by Lisa.) "first sentence"

Classifications

Dewey 519.2

Probability and Measure

3rd ed.

This edition published in by Wiley-Interscience 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. 581-583) and index.
"A Wiley-Interscience publication."

Series
Wiley Series in Probability and Mathematical Statistics
Copyright Date
1995

Classifications

Dewey Decimal Class
519.2
Library of Congress
QA273 .B575 1995

The Physical Object

Format
Hardcover
Pagination
xii, 593 p. :
Number of pages
593
Dimensions
24 x 16 x 3.5 centimeters
Weight
1030 grams

ID Numbers

Open Library
OL1103491M
Internet Archive
probabilitymeasu00bill_095
ISBN 10
0471007102
ISBN 13
978-0471007104
LC Control Number
94028500
OCLC/WorldCat
848039310
Amazon.com
0471007102
Google
z39jQgAACAAJ
Library Thing
444835
Goodreads
1223462

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
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.