A first look at rigorous probability theory

A first look at rigorous probability theory

by Rosenthal, Jeffrey S., (Jeffrey Seth)

Type Book
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"This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results."--Jacket.

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Title Statements

  • Full title :A first look at rigorous probability theory / Jeffrey S. Rosenthal.

Summary

"This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results."--Jacket.

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Edition Statements

  • Publication Date:©2006.
  • Edition:2nd ed

Publication Statements

  • Publisher(s):World Scientific
  • Place of Publication:Singapore
  • Language:eng
  • Publication Date:©2006.

The Physical Object

  • Description:1 online resource (xvi, 219 pages ): : illustrations.

Edition Identifiers

  • ISBN:9789812772534, 9812772537, 9812703705, 9789812703705
  • oclc:on1327796781
  • LC Classification:QA273
  • Dewey Decimal:519.2

Table of Contents

The need for measure theory -- Probability triples -- Further probabilistic foundations -- Expected values -- Inequalities and convergence -- Distributions of random variables -- Stochastic processes and gambling games -- Discrete Markov chains -- More probability theorems -- Weak convergence -- Characteristic functions -- Decomposition of probability laws -- Conditional probability and expectation -- Martingales -- General stochastic processes -- Mathematical background.

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