Dynamic Probabilistic Systems: Markov Models

Ronald A Howard

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Language: English

Published by Dover Publications Inc., 2007

0486458709 / 9780486458700

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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.

Seller Inventory # CIN0486458709G

Title
Dynamic Probabilistic Systems: Markov Models
Author
Ronald A Howard
Publisher
Dover Publications Inc.
Publication year
2007
Condition
Good
Binding
Paperback
Language
English
ISBN 10
0486458709
ISBN 13
9780486458700

World of Books Inc

Montgomery, IL, U.S.A.

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