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Author: Florence Marryat
Publisher:
ISBN:
Category :
Languages : en
Pages : 310
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Author: Florence Marryat
Publisher:
ISBN:
Category :
Languages : en
Pages : 310
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Author: Wai-Ki Ching
Publisher: Springer Science & Business Media
ISBN: 1461463122
Category : Business & Economics
Languages : en
Pages : 259
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Book Description
This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end-of-chapter exercises, a new focus on management science, new applications of the models, and new examples with applications in financial risk management and modeling of financial data. This book consists of eight chapters. Chapter 1 gives 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 will also be highlighted. Some classical iterative methods for solving linear systems will be introduced for finding the stationary distribution of a Markov chain. The chapter then covers the basic theories and algorithms for hidden Markov models (HMMs) and Markov decision processes (MDPs). Chapter 2 discusses the applications of continuous time Markov chains to model queueing systems and discrete time Markov chain for computing the PageRank, the ranking of websites on the Internet. Chapter 3 studies Markovian models for manufacturing and re-manufacturing systems and presents closed form solutions and fast numerical algorithms for solving the captured systems. In Chapter 4, the authors present a simple hidden Markov model (HMM) with fast numerical algorithms for estimating the model parameters. An application of the HMM for customer classification is also presented. Chapter 5 discusses Markov decision processes for customer lifetime values. Customer Lifetime Values (CLV) is an important concept and quantity in marketing management. The authors present an approach based on Markov decision processes for the calculation of CLV using real data. Chapter 6 considers higher-order Markov chain models, particularly a class of parsimonious higher-order Markov chain models. Efficient estimation methods for model parameters based on linear programming are presented. Contemporary research results on applications to demand predictions, inventory control and financial risk measurement are also presented. In Chapter 7, a class of parsimonious multivariate Markov models is introduced. Again, efficient estimation methods based on linear programming are presented. Applications to demand predictions, inventory control policy and modeling credit ratings data are discussed. Finally, Chapter 8 re-visits hidden Markov models, and the authors present a new class of hidden Markov models with efficient algorithms for estimating the model parameters. Applications to modeling interest rates, credit ratings and default data are discussed. This book is aimed at senior undergraduate students, postgraduate students, professionals, practitioners, and researchers in applied mathematics, computational science, operational research, management science and finance, who are interested in the formulation and computation of queueing networks, Markov chain models and related topics. Readers are expected to have some basic knowledge of probability theory, Markov processes and matrix theory.
Author: John Charlton
Publisher:
ISBN: 9781857951233
Category : Slavery
Languages : en
Pages : 160
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North East England is rarely associated with the African slave trade, but research has shown that the region was inextricably involved in that shocking state-sanctioned traffic in human beings. This title reveals the links between some of the North East's wealthiest, most prominent families and the plantations of the New World.
Author: Theodore J. Sheskin
Publisher: CRC Press
ISBN: 1420051121
Category : Mathematics
Languages : en
Pages : 478
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Book Description
Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and service systems. However, most books on Markov chains or decision processes are often either highly theoretical, with few examples, or highly prescriptive, with little justification for the steps of the algorithms u
Author:
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 800
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Author: New Zealand Geological Survey
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 206
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Author: James Mackintosh Bell
Publisher:
ISBN:
Category : Geological surveys
Languages : en
Pages : 618
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Author: Yun Gao
Publisher: International Labor Office
ISBN:
Category : Business & Economics
Languages : en
Pages : 220
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Book Description
... World of Chinese irregular migrants in three European countries: France, Italy and the United Kingdom.
Author: Wai-Ki Ching
Publisher: Springer Science & Business Media
ISBN: 038729337X
Category : Mathematics
Languages : en
Pages : 212
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Book 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.
Author: British Columbia
Publisher:
ISBN:
Category : British Columbia
Languages : en
Pages : 2290
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