Dynamic Probabilistic Systems, Volume I

Markov Models

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Dynamic Probabilistic Systems, Volume I by Ronald A. Howard, Dover Publications
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ronald A. Howard ISBN: 9780486140674
Publisher: Dover Publications Publication: May 4, 2012
Imprint: Dover Publications Language: English
Author: Ronald A. Howard
ISBN: 9780486140674
Publisher: Dover Publications
Publication: May 4, 2012
Imprint: Dover Publications
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

More books from Dover Publications

Cover of the book The 100 Greatest Advertisements 1852-1958 by Ronald A. Howard
Cover of the book The Wonderful Adventures of Nils by Ronald A. Howard
Cover of the book The Essential Anatomy of Melancholy by Ronald A. Howard
Cover of the book Small Brick Houses of the Twenties by Ronald A. Howard
Cover of the book Twelfth Night Thrift Study Edition by Ronald A. Howard
Cover of the book From Medicine Man to Doctor by Ronald A. Howard
Cover of the book Alcoholics Anonymous by Ronald A. Howard
Cover of the book Invitation to Geometry by Ronald A. Howard
Cover of the book H. G. Wells The Dover Reader by Ronald A. Howard
Cover of the book She Stoops to Conquer by Ronald A. Howard
Cover of the book Victorian and Edwardian Fashions from "La Mode Illustrée" by Ronald A. Howard
Cover of the book There's a Saying for That by Ronald A. Howard
Cover of the book Fundamentals of Chemical Reaction Engineering by Ronald A. Howard
Cover of the book Men of Iron by Ronald A. Howard
Cover of the book The Raven and Other Favorite Poems by Ronald A. Howard
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy