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Stochastic Processes: An Introduction, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Stochastic Processes: An Introduction, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

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Manufacturer: Chapman and Hall/CRC
Publisher: Chapman and Hall/CRC
Author(s): Peter Watts Jones, Peter Smith

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Product Description:
Binding: Paperback
Brand: Brand: Chapman and Hall/CRC
EAN: 9781420099607
Edition: 2
Feature: Used Book in Good Condition
ISBN: 1420099604
Item Dimensions: Array
Label: Chapman and Hall/CRC
Languages: Array
Manufacturer: Chapman and Hall/CRC
Number Of Items: 1
Number Of Pages: 232
Publication Date: 2009-10-11
Publisher: Chapman and Hall/CRC
Release Date: 2009-10-11
Studio: Chapman and Hall/CRC
Product Features:
Used Book in Good Condition
Editorial Review:

Based on a highly popular, well-established course taught by the authors, Stochastic Processes: An Introduction, Second Edition discusses the modeling and analysis of random experiments using the theory of probability. It focuses on the way in which the results or outcomes of experiments vary and evolve over time.

The text begins with a review of relevant fundamental probability. It then covers several basic gambling problems, random walks, and Markov chains. The authors go on to develop random processes continuous in time, including Poisson, birth and death processes, and general population models. While focusing on queues, they present an extended discussion on the analysis of associated stationary processes. The book also explores reliability and other random processes, such as branching processes, martingales, and a simple epidemic. The appendix contains key mathematical results for reference.

Ideal for a one-semester course on stochastic processes, this concise, updated textbook makes the material accessible to students by avoiding specialized applications and instead highlighting simple applications and examples. The associated website contains Mathematica® and R programs that offer flexibility in creating graphs and performing computations.


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