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Probability Theory with Applications

Probability Theory and Applications is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the c...

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Bibliographic Details
Main Authors: Rao, Malempati M., Swift, Randall J. (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 2006, 2006
Edition:2nd ed. 2006
Series:Mathematics and Its Applications
Subjects:
Measure Theory
Computer Science / Mathematics
Functions Of Real Variables
Fourier Analysis
Probability Theory
Mathematical Applications In Computer Science
Real Functions
Measure And Integration
Probabilities
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Foundations
  • Background Material and Preliminaries
  • Independence and Strong Convergence
  • Conditioning and Some Dependence Classes
  • Analytical Theory
  • Probability Distributions and Characteristic Functions
  • Weak Limit Laws
  • Applications
  • Stopping Times, Martingales, and Convergence
  • Limit Laws for Some Dependent Sequences
  • A Glimpse of Stochastic Processes

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