Wiley Series in Probability and Statistics Ser.: Introduction to Probability Theory and Its Applications, Volume 2 by William Feller (1991, Trade Paperback)
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The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471257095
ISBN-139780471257097
eBay Product ID (ePID)965648
Product Key Features
Number of Pages704 Pages
LanguageEnglish
Publication NameIntroduction to Probability Theory and Its Applications, Volume 2
Publication Year1991
SubjectProbability & Statistics / General
FeaturesRevised
TypeTextbook
Subject AreaMathematics
AuthorWilliam Feller
SeriesWiley Series in Probability and Statistics Ser.
FormatTrade Paperback
Dimensions
Item Height1.5 in
Item Weight36.6 Oz
Item Length9.3 in
Item Width6.3 in
Additional Product Features
Edition Number2
Intended AudienceCollege Audience
LCCN57-010805
TitleLeadingAn
Dewey Edition21
Series Volume Number81
IllustratedYes
Volume NumberVol. 2
Dewey Decimal519/.1
Edition DescriptionRevised edition
SynopsisThe classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems., The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.