Introduction to stochastic processes / Erhan Cinlar, Norman, J. Sollenberger professor in engineering, Princeton University.
By: Çınlar, E. (Erhan).
Contributor(s): Sollenberger, Norman J.
Material type:
TextPublisher: Mineola, New York : Dover Publications, Inc., 2013Edition: Dover edition.Description: x, 402 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780486497976 (pbk.); 0486497976 (pbk.).Subject(s): Stochastic processes. -- School of Pure and Applied SciencesDDC classification: 519.2/3 Summary: " This clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory. 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. Includes an introduction to basic stochastic processes. 1975 edition"-- Provided by publisher.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Long Loan Book
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Kirinyaga University Library General Stacks | Non-fiction | QA274 .C56 2013 (Browse shelf) | Available | KYU/2017/7083 | ||
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Long Loan Book
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Kirinyaga University Library General Stacks | Non-fiction | QA274 .C56 2013 (Browse shelf) | Available | KYU/2017/7084 |
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| QA 273.25 .S65 2013 Probability and statistics / | QA 273.6 .H86 2015 Probability distributions of a single random variable | QA273.6 U67 2012 Probability distributions of a single Random variable | QA274 .C56 2013 Introduction to stochastic processes / | QA274 .C56 2013 Introduction to stochastic processes / | QA 274 .N35 2011 Stochastic processes : | QA 274 .T37 1975 A first course in stochastic processes / |
Reprint of: Englewood Cliffs, N.J. : Prentice-Hall, c1975.
Includes bibliographical references (pages 383-385) and index.
" This clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory. 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. Includes an introduction to basic stochastic processes. 1975 edition"-- Provided by publisher.