Probability and Measure - Info and Reading Options
By Patrick Billingsley
"Probability and Measure" was published by Wiley-Interscience in 1995 - New York, USA, it has 593 pages and the language of the book is English.
“Probability and Measure” Metadata:
- Title: Probability and Measure
- Author: Patrick Billingsley
- Language: English
- Number of Pages: 593
- Publisher: Wiley-Interscience
- Publish Date: 1995
- Publish Location: New York, USA
“Probability and Measure” Subjects and Themes:
- Subjects: Probabilities - Measure theory - Qa273 .b575 1995 - 519.2
Edition Specifications:
- Format: Hardcover
- Weight: 1030 grams
- Dimensions: 24 x 16 x 3.5 centimeters
- Pagination: xii, 593 p. :
Edition Identifiers:
- Google Books ID: z39jQgAACAAJ
- The Open Library ID: OL1103491M - OL25936W
- Online Computer Library Center (OCLC) ID: 848039310 - 30735805
- Library of Congress Control Number (LCCN): 94028500
- ISBN-13: 9780471007104
- ISBN-10: 0471007102
- All ISBNs: 0471007102 - 9780471007104
AI-generated Review of “Probability and Measure”:
Snippets and Summary:
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.
"Probability and Measure" Description:
The Open Library:
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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