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Markov Chains: Models, Algorithms and Applications by Wai Ki Ching
Markov Chains: Models, Algorithms and Applications by Wai Ki Ching
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Markov Chains: Models, Algorithms and Applications

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Description

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models. Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.
Release date NZ
November 25th, 2010
Audience
  • Professional & Vocational
Edition
Softcover reprint of hardcover 1st ed. 2006
Illustrations
18 Illustrations, black and white; XIV, 208 p. 18 illus.
Pages
208
Dimensions
156x234x12
ISBN-13
9781441939869
Product ID
8938147

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