Dynamic Probabilistic Systems, Volume II
Semi-Markov and Decision Processes
Ranked #35 in Numerical Analysis
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... more
Author Ronald A. Howard, Professor of Management Science and Engineering at Stanford... more
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