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Dynamic Probabilistic Systems, Volume I
Ronald A. Howard
其他書名
Markov Models
出版Courier Corporation, 2012-05-04
主題Mathematics / Probability & Statistics / General
ISBN04861406799780486140674
URLhttp://books.google.com.hk/books?id=ioROFfmWAVQC&hl=&source=gbs_api
EBookSAMPLE
註釋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.