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Markov Chains: Models, Algorithms and Applications
Ching, Wai-Ki
, The University of Hong Kong, Hong Kong, P.R. China.
Ng, Michael K.
, Hong Kong Baptist University, Hong Kong, P.R. China.
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PRINTED BOOK DETAILS:
ISBN :
978-81-8489-030-3
Publication Year :
Oct, 2008
Edition :
1st
Pages :
220
Price :
$ 19.75
Binding : Paperback
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About the Book: |
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 queuing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining and many other practical systems.
This special low-priced edition is for sale in India, Bangladesh, Nepal, Pakistan and Sri Lanka only.
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Contents: |
Introduction Queueing Systems and the Web Re-manufacturing Systems Hidden Markov Model for Customers Classification Markov Decision Process for Customer Lifetime Value Higher-order Markov Chains Multivariate Markov Chains Hidden Markov Chains
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Audience: |
Economics,Mathematics,Computer,Information Technology,Statistics,Springer
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