9781447132691-1447132696-Markov Chains and Stochastic Stability (Communications and Control Engineering)

Markov Chains and Stochastic Stability (Communications and Control Engineering)

ISBN-13: 9781447132691
ISBN-10: 1447132696
Edition: 1993
Author: Meyn, Sean P., Tweedie, Richard L.
Publication date: 2012
Publisher: Springer
Format: Paperback 566 pages
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Book details

ISBN-13: 9781447132691
ISBN-10: 1447132696
Edition: 1993
Author: Meyn, Sean P., Tweedie, Richard L.
Publication date: 2012
Publisher: Springer
Format: Paperback 566 pages

Summary

Acknowledged authors Meyn, Sean P., Tweedie, Richard L. wrote Markov Chains and Stochastic Stability (Communications and Control Engineering) comprising 566 pages back in 2012. Textbook and eTextbook are published under ISBN 1447132696 and 9781447132691. Since then Markov Chains and Stochastic Stability (Communications and Control Engineering) textbook was available to sell back to BooksRun online for the top buyback price of $ 0.30 or rent at the marketplace.

Description

Markov Chains and Stochastic Stability is part of the Communications and Control Engineering Series (CCES) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over the past 20 years into something more accessible and complete. It is of increasing interest and importance. This publication deals with the action of Markov chains on general state spaces. It discusses the theories and the use to be gained, concentrating on the areas of engineering, operations research and control theory. Throughout, the theme of stochastic stability and the search for practical methods of verifying such stability, provide a new and powerful technique. This does not only affect applications but also the development of the theory itself. The impact of the theory on specific models is discussed in detail, in order to provide examples as well as to demonstrate the importance of these models. Markov Chains and Stochastic Stability can be used as a textbook on applied Markov chain theory, provided that one concentrates on the main aspects only. It is also of benefit to graduate students with a standard background in countable space stochastic models. Finally, the book can serve as a research resource and active tool for practitioners.
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