Dynamic Probabilistic Systems, Volume I: Markov Models (Volume 1) (Dover Books on Mathematics)
Ronald A. Howard
ISBN 10: 0486458709 ISBN 13: 9780486458700
Published by Dover, 2007
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Synopsis:
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.
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.
About the Author:
Ronald A. Howard is Professor of Management Science and Engineering at Stanford University.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Dynamic Probabilistic Systems, Volume I: ...
Publisher: Dover
Publication Date: 2007
Binding: paperback
Condition: Good
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