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

By: Jones, P. W Contributor(s): Smith, Peter, 1935-Material type: Text

TextLanguage: 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	EWU Library Reserve Section	Non-fiction	519.23 JOS 2010 (Browse shelf(Opens below))	C-1	Not For Loan		27396
Text	EWU Library Circulation Section	Non-fiction	519.23 JOS 2010 (Browse shelf(Opens below))	C-2	Available		27397

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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.

Sagar Shahanawaz

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