Markov Chains: Models, Algorithms and Applications by Wai-Ki Ching (English) Pap

Description: Markov Chains: Models, Algorithms and Applications by Wai-Ki Ching, Michael K. Ng 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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. Notes Markov chains are a powerful and widely used tool for analyzing a variety of stochastic systems over timeSystematically discusses all the models beginning with the basic to the more advanced and illustrates each of the models with the most recent and high interest applications and uses Table of Contents 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. Review 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 books … 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) Long Description 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. The book consists of eight chapters. Chapter 1 is a brief introduction to the classical theory on both discrete and continuous time Markov chains. The relationship between Markov chains of finite states and matrix theory is also discussed. Chapter 2 discusses the applications of continuous time Markov chains to model queueing systems and discrete time Markov chains for computing. Chapter 3 studies re-manufacturing systems and presents Markovian models for reverse manufacturing applications. In Chapter 4, Hidden Markov models are applied to classify customers. Chapter 5 discusses the Markov decision process for customer lifetime values. Customer Lifetime Values (CLV) is an important concept and quantity in marketing management. Chapter 6 covers higher-order Markov chain models. Multivariate Markov models are discussed in Chapter 7. It presents a class of multivariate Markov chain models with a lower order of model parameters. Chapter 8 studies higher-order hidden Markov models. It proposes a class of higher-order hidden Markov models with an efficient algorithm for solving the model parameters. This book is aimed at students, professionals, practitioners, and researchers in applied mathematics, scientific computing, and operational research, who are interested in the formulation and computation of queueing and manufacturing systems. Review Quote 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 books … 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) Feature Markov chains are a powerful and widely used tool for analyzing a variety of stochastic systems over time Systematically discusses all the models beginning with the basic to the more advanced and illustrates each of the models with the most recent and high interest applications and uses Details ISBN1441939865 Author Michael K. Ng Publisher Springer-Verlag New York Inc. Series International Series in Operations Research & Management Science Year 2010 ISBN-10 1441939865 ISBN-13 9781441939869 Format Paperback Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States DEWEY 510 Affiliation University of Hong Kong Edition 1st Short Title MARKOV CHAINS MODELS ALGORITHM Language English Media Book Series Number 83 Residence HK Publication Date 2010-11-25 Pages 208 Replaced by 9781489997524 Subtitle Models, Algorithms and Applications DOI 10.1007/0-387-29337-X AU Release Date 2010-11-25 NZ Release Date 2010-11-25 US Release Date 2010-11-25 UK Release Date 2010-11-25 Edition Description Softcover reprint of hardcover 1st ed. 2006 Alternative 9780387293356 Audience Professional & Vocational Illustrations 18 Illustrations, black and white; XIV, 208 p. 18 illus. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96242499;

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