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Synopsis
A nonmeasure theoretic introduction to stochastic processes. Considers its diverse range of applications and provides readers with probabilistic intuition and insight in thinking about problems. This revised edition contains additional material on compound Poisson random variables including an identity which can be used to efficiently compute moments; a new chapter on Poisson approximations; and coverage of the mean time spent in transient states as well as examples relating to the Gibb′s sampler, the Metropolis algorithm and mean cover time in star graphs. Numerous exercises and problems have been added throughout the text.
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- PublisherJohn Wiley & Sons
- Publication date1983
- ISBN 10 0471099422
- ISBN 13 9780471099420
- BindingHardcover
- LanguageEnglish
- Number of pages310
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Stochastic Processes (Wiley Series in Probability and Statistics)
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Stochastic Processes (Wiley Series in Probability and Statistics)
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