Probability Theory /

By:

Loeve, Michel

Material type: Text

TextSeries: A Series of Advanced Text and Reference Books in Pure and Applied MathematicsPublication details: New York: Van Nostrand Reinhold, [1963]Edition: 3rd edDescription: 685 p.:illSubject(s):

Probability Theory

DDC classification:

519.2 LOE

Summary: The foundations of this publication are presented in: the Introductory Part on the background of the concepts and problems, treated without advanced mathematical tools; Part One on the notions of measure theory that every probabilist and statistician requires; Part Two on general concepts and tools of probability theory; Part Three on independence devoted essentially to sums of independent random variables and their limit properties; Part Four on dependence devoted to the operation of conditioning and limit properties of sums of dependent random variables; and Part Five on elements of random analysis devoted to the basic concepts of random analysis and to the martingale, decomposable, and Markov types of random functions.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Monograph & others	CBN HQ Library General Stacks	Non-fiction	519.2 LOE (Browse shelf(Opens below))	Available		31008100139449

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Previous	519.2 FRI Stochastic Differential Equations and Applications/	519.2 FRI Stochastic Differential Equations and Applications/	519.2 KEY A Treatise on Probability/	519.2 LOE Probability Theory /	519.2 MCF An introduction to the theory of statistics /	519.2 STR A First Course in Probability and Statistics with Applications /	519.2 STR A First Course in Probability and Statistics with Applications /	Next

Includes bibliographical references and indexes.

The foundations of this publication are presented in: the Introductory Part on the background of the concepts and problems, treated without advanced mathematical tools; Part One on the notions of measure theory that every probabilist and statistician requires; Part Two on general concepts and tools of probability theory; Part Three on independence devoted essentially to sums of independent random variables and their limit properties; Part Four on dependence devoted to the operation of conditioning and limit properties of sums of dependent random variables; and Part Five on elements of random analysis devoted to the basic concepts of random analysis and to the martingale, decomposable, and Markov types of random functions.

ne 23/03/2018

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