Overview
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.
Full Product Details
Author: Wai-Ki Ching (University of Hong Kong) ,
Michael K. Ng
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 2006 ed.
Volume: v. 83
Dimensions:
Width: 15.60cm
, Height: 1.40cm
, Length: 23.40cm
Weight: 0.493kg
ISBN: 9780387293356
ISBN 10: 0387293353
Pages: 224
Publication Date: 05 December 2005
Audience:
College/higher education
,
Professional and scholarly
,
Postgraduate, Research & Scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Unknown
Availability: Out of print, replaced by POD
We will order this item for you from a manufatured on demand supplier.
Reviews
From the reviews: <p> The authors outline recent developments of Markov chain models a ] . This book is aimed at students, professionals, practitioners, and researchers in scientific computing and operational research, who are interested in the formulation and computation of queuing and manufacturing systems. It gives a number of useful tools for researchers in real applications a ] . (Alexander I. Zejfman, Zentralblatt MATH, Vol. 1089 (15), 2006) <p> In this booka (TM)s a ] essential notions on Markov chains, hidden Markov models, and Markov decision processes are covered, with special emphasis on iterative methods for solving linear systems. a ] Each chapter finishes with a short summary and sometimes a selection of open problems. a ] This book is intended for students and researchers in applied mathematics, scientific computing, and operations research a ] . Overall, this book offers much interesting and up-to-date material on a wide variety of topics, dealing with finite-space Markov processes. (Jozef L. Teugels, Journal of the American Statistical Association, Vol. 103 (483), September, 2008)
From the reviews: The authors outline recent developments of Markov chain models ... . This book is aimed at students, professionals, practitioners, and researchers in scientific computing and operational research, who are interested in the formulation and computation of queuing and manufacturing systems. It gives a number of useful tools for researchers in real applications ... . (Alexander I. Zejfman, Zentralblatt MATH, Vol. 1089 (15), 2006) In this book's ... essential notions on Markov chains, hidden Markov models, and Markov decision processes are covered, with special emphasis on iterative methods for solving linear systems. ... Each chapter finishes with a short summary and sometimes a selection of open problems. ... This book is intended for students and researchers in applied mathematics, scientific computing, and operations research ... . Overall, this book offers much interesting and up-to-date material on a wide variety of topics, dealing with finite-space Markov processes. (Jozef L. Teugels, Journal of the American Statistical Association, Vol. 103 (483), September, 2008)
