Dynamic Probabilistic Systems Markov Models

ISBN-10: 0486458709

ISBN-13: 9780486458700

Edition: N/A

Authors: 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 to space engineering to marketing. The author is Professor of Management Science and Engineering at Stanfordnbsp;University. 1971 edition.
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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
Markov Process Behavior
State Probabilities
The Transient Behavior of State Probabilities-Shrinkage
Transform Analysis
Transform Analysis of Markov Processes
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
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
Processes with Partial Information
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
Properties of Congruent Matrix Multiplication
A Paper
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