Wiley Series in Probability and Statistics Ser.: Introduction to Probability Theory and Its Applications, Volume 1 by William Feller (1991, Hardcover)
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A complete guide to the theory and practical applications of probability theory An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The books comprehensive approach provides a complete view of theory along with enlightening examples along the way.
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471257087
ISBN-139780471257080
eBay Product ID (ePID)965889
Product Key Features
Number of Pages528 Pages
Publication NameIntroduction to Probability Theory and Its Applications, Volume 1
LanguageEnglish
SubjectProbability & Statistics / General
Publication Year1991
FeaturesRevised
TypeTextbook
AuthorWilliam Feller
Subject AreaMathematics
SeriesWiley Series in Probability and Statistics Ser.
FormatHardcover
Dimensions
Item Height1.1 in
Item Weight28.4 Oz
Item Length9.3 in
Item Width6.3 in
Additional Product Features
Edition Number3
Intended AudienceCollege Audience
LCCN68-011708
Dewey Edition21
TitleLeadingAn
Series Volume Number82
Volume NumberVol. 1
Dewey Decimal519/.1
Edition DescriptionRevised edition
Table Of ContentIntroduction: The Nature of Probability Theory. The Sample Space. Elements of Combinatorial Analysis. Fluctuations in Coin Tossing and Random Walks. Combination of Events. Conditional Probability. Stochastic Independence. The Binomial and Poisson Distributions. The Normal Approximation to the Binomial Distribution. Unlimited Sequences of Bernoulli Trials. Random Variables; Expectation. Laws of Large Numbers. Integral Valued Variables. Generating Functions. Compound Distributions. Branching Processes. Recurrent Events. Renewal Theory. Random Walk and Ruin Problems. Markov Chains. Algebraic Treatment of Finite Markov Chains. The Simplest Time-Dependent Stochastic Processes. Answers to Problems.
SynopsisA complete guide to the theory and practical applications of probability theory An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way., A complete guide to the theory and practical applications of probability theory An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory.
LC Classification NumberQA273 .F37 1968
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- 14 Sep, 2021
Very satisfied
Excellent condition; seemingly unused; classic older text at fair priceVerified purchase: YesCondition: Pre-owned
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