Probability theory with applications

Bibliographic Information

Probability theory with applications

by M.M. Rao, R.J. Swift

(Mathematics and its applications, v. 582)

Springer, c2006

2nd ed

Available at  / 20 libraries

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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"

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Details

  • NCID
    BA76661160
  • ISBN
    • 0387277307
  • LCCN
    2005049973
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York, N.Y.
  • Pages/Volumes
    xviii, 527 p.
  • Size
    25 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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