Dynamic Probabilistic Systems Markov Models

Name: Dynamic Probabilistic Systems Markov Models
Price: 34.56 USD
Availability: InStock
ISBN: 9780486458700

ISBN-10: 0486458709

ISBN-13: 9780486458700

Edition: N/A

Authors: Ronald A. Howard

List price: $28.95

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Description:

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 to space engineering to marketing. The author is Professor of Management Science and Engineering at Stanfordnbsp;University. 1971 edition.

Book details

List price: $28.95
Publisher: Dover Publications, Incorporated
Publication date: 6/5/2007
Binding: Paperback
Pages: 576
Size: 6.25" wide x 9.00" long x 1.25" tall
Weight: 1.694
Language: English




The Basic Markov Process



Introduction



Markov Process Behavior



State Probabilities



The Transient Behavior of State Probabilities-Shrinkage



Transform Analysis



Transform Analysis of Markov Processes



Conclusion



Systems Analysis of Linear Processes



Properties and Models of Simple Systems



Complex Systems



Transform Analysis of Systems



Flow Graph Reduction



An Inspection Method for Flow Graph Reduction



An Inventory System Example



Matrix Systems



Complex Matrix Systems



Conclusion



Systems Analysis of Markov Processes



Flow Graph Analysis of Markov Processes



Matrix Flow Graph Analysis of Markov Processes



Transient Markov Processes



Transient Processes



Some Applications of Transient Processes-Coin-Tossing



Holding-Time Statistics



Markov Process Statistics



State Occupancy Statistics



First Passage Times



Transitions: Statistics and Inference



Tagging



Processes with Partial Information



Inference



Recurrent Events and Random Walks



Recurrent Events-the Renewal Process



Renewal Statistics



Patterns in Bernoulli Trials



Random Walks



Birth and Death Processes



Ruin Problems



Markovian Population Models



The Vector Markov Process



Branching Processes



Time-Varying Markov Processes



The Chapman-Kolmogorov Equations



Time-Varying Markov Process Examples



Inverse Markov Processes


Notation


Appendixes



Properties of Congruent Matrix Multiplication



A Paper



References


Index