Markov Chains: Models, Algorithms and Applications

Wai-Ki Ching, Michael K. Ng (Autoren)

Buch | Softcover

208 Seiten

2010 | 1st ed. Softcover of orig. ed. 2006
Springer-Verlag New York Inc.
978-1-4419-3986-9 (ISBN)

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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.

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.

Erscheint lt. Verlag	25.11.2010
Reihe/Serie	International Series in Operations Research Management Science ; 83
Zusatzinfo	18 Illustrations, black and white
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
ISBN-10	1-4419-3986-5 / 1441939865
ISBN-13	978-1-4419-3986-9 / 9781441939869
Zustand	Neuware