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Dynamic Probabilistic Systems, Volume I: Markov Models

Dynamic Probabilistic Systems, Volume I: Markov Models

By: Ronald A. Howard

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This book is an integrated work published in two volumes. The first volume treats the basic Markov process and its variants; the second, semi-Markov and decision processes. Its intent is to equip readers to formulate, analyze, and evaluate simple and advanced Markov models of systems, ranging from genetics and space engineering to marketing. More than a collection of techniques, it constitutes a guide to the consistent application of the fundamental principles of probability and linear system theory.
Author Ronald A. Howard, Professor of Management Science and Engineering at Stanford University, begins with the basic Markov model, proceeding to systems analyses of linear processes and Markov processes, transient Markov processes and Markov process statistics, and statistics and inference. Subsequent chapters explore recurrent events and random walks, Markovian population models, and time-varying Markov processes. Volume I concludes with a pair of helpful indexes.

Reprint of the John Wiley & Sons, New York, 1971 edition.
AvailabilityUsually ships in 24 to 48 hours
ISBN 100486458709
ISBN 139780486458700
Author/EditorRonald A. Howard
Page Count608
Dimensions6 1/8 x 9 1/4

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