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"Introduction To Stochastic Processes

"Introduction To Stochastic Processes

"Introduction To Stochastic Processes
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"Introduction To Stochastic Processes Paperback - 2013

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Details

  • Title "Introduction To Stochastic Processes
  • Author ,
  • Binding Paperback
  • Edition Reprint
  • Condition New
  • Pages 416
  • Volumes 1
  • Language ENG
  • Publisher Dover Publications
  • Publication date 2013-02-20
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # 18782631-n
  • ISBN 9780486497976 / 0486497976
  • Weight 1.4 lbs (0.64 kg)
  • Dimensions 8.9 x 5.9 x 1.1 in (22.61 x 14.99 x 2.79 cm)
  • Category Mathematics
  • Library of Congress subjects Stochastic processes
  • Library of Congress Catalogue Number 2012028204
  • Dewey Decimal Code 519.2
  • Quantity available 5

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Reader reviews for "Introduction To Stochastic Processes

From the publisher

This clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory. The text emphasizes the modern viewpoint, in which the primary concern is the behavior of sample paths. By employing matrix algebra and recursive methods, rather than transform methods, it provides techniques readily adaptable to computing with machines.
Topics include probability spaces and random variables, expectations and independence, Bernoulli processes and sums of independent random variables, Poisson processes, Markov chains and processes, and renewal theory. Assuming some background in calculus but none in measure theory, the complete, detailed, and well-written treatment is suitable for engineering students in applied mathematics and operations research courses as well as those in a wide variety of other scientific fields. Many numerical examples, worked out in detail, appear throughout the text, in addition to numerous end-of-chapter exercises and answers to selected exercises.

About the author

Erhan inlar is a Professor of Operations Research and Financial Engineering at Princeton University. He was formerly on the faculty of Northwestern University.
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