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Stochastic processes : an introduction / Peter Watts Jones, Peter Smith.

By: Jones, P. WContributor(s): Smith, Peter, 1935-Material type: TextTextLanguage: English Series: Chapman & Hall/CRC texts in statistical science seriesPublication details: Boca Raton, FL : Chapman & Hall/CRC, c2010. Edition: 2nd edDescription: x, 221 p. : ill. ; 24 cmISBN: 9781420099607 (pbk. : alk. paper); 1420099604Subject(s): Stochastic processesDDC classification: 519.23 LOC classification: QA274 | .J66 2010Online resources: WorldCat details
Contents:
TOC 1. Some background on probability -- 2. Some gambling problems -- 3. Random walks -- 4. Markov Chains -- 5. Poisson processes -- 6. Birth and death processes -- 7. Queues -- 8. Reliability and renewal -- 9. Branching and other random processes -- 10. Computer simulations and projects.
Summary: This 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.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section
Non-fiction 519.23 JOS 2010 (Browse shelf(Opens below)) C-1 Not For Loan 27396
Text Text Dr. S. R. Lasker Library, EWU
Circulation Section
Non-fiction 519.23 JOS 2010 (Browse shelf(Opens below)) C-2 Available 27397
Total holds: 0

Includes bibliographical references and index.

TOC 1. Some background on probability --
2. Some gambling problems --
3. Random walks --
4. Markov Chains --
5. Poisson processes --
6. Birth and death processes --
7. Queues --
8. Reliability and renewal --
9. Branching and other random processes --
10. Computer simulations and projects.

This 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.

AS

Sagar Shahanawaz

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