Probability theory with applications
Author(s)
Bibliographic Information
Probability theory with applications
(Mathematics and its applications, v. 582)
Springer, c2006
2nd ed
Available at 20 libraries
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  Iwate
  Miyagi
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Note
Includes bibliographical references (p. [509]-517) and indexes
Description and Table of Contents
Description
This is a revised and expanded edition of a successful graduate and reference text. The book is designed for a standard graduate course on probability theory, including some important applications. The new edition offers a detailed treatment of the core area of probability, and both structural and limit results are presented in detail. Compared to the first edition, the material and presentation are better highlighted; each chapter is improved and updated.
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.
by "Nielsen BookData"