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Wiley Series in Probability and Statistics Ser.: Probability and Measure by Patrick Billingsley (1995, Hardcover)
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Probability and Measure
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471007102
ISBN-139780471007104
eBay Product ID (ePID)185640
Product Key Features
Number of Pages608 Pages
LanguageEnglish
Publication NameProbability and Measure
SubjectProbability & Statistics / General, Algebra / General
Publication Year1995
FeaturesRevised
TypeTextbook
Subject AreaMathematics
AuthorPatrick Billingsley
SeriesWiley Series in Probability and Statistics Ser.
FormatHardcover
Dimensions
Item Height1.3 in
Item Weight34 Oz
Item Length9.6 in
Item Width6.4 in
Additional Product Features
Edition Number3
Intended AudienceScholarly & Professional
LCCN94-028500
Dewey Edition20
Series Volume Number245
IllustratedYes
Dewey Decimal519.2
Table Of ContentProbability. Measure. Integration. Random Variables and Expected Values. Convergence of Distributions. Derivatives and Conditional Probability. Stochastic Processes. Appendix. Notes on the Problems. Bibliography. List of Symbols. Index.
Edition DescriptionRevised edition
SynopsisPROBABILITY AND MEASURE 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., This graduate-level text concentrates on measure theory and modern probability based on measure theory. Its unique feature is the way it intertwines the two subjects: probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. In this new edition, queuing theory is replaced by ergodic theory, modern conditional probability is introduced sooner, and the treatment of Brownian motion is improved. Numerous problems are included in the text., PROBABILITY AND MEASURE 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.
LC Classification NumberQA273.B575 1995
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