Verwandte Artikel zu Dynamic Probabilistic Systems: Markov Models (Dover...
Inhaltsangabe
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.
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.
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Ronald A. Howard is Professor of Management Science and Engineering at Stanford University.
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Dynamic Probabilistic Systems: Markov Models
Verlag:
Dover Publications Inc., 2007
ISBN 10: 0486458709
ISBN 13: 9780486458700
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Paperback
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. 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. Bestandsnummer des Verkäufers CIN0486458709G
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Dynamic Probabilistic Systems, Volume I: Markov Models (Volume 1) (Dover Books on Mathematics)
Anbieter: BooksRun, Philadelphia, PA, USA
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Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Bestandsnummer des Verkäufers 0486458709-11-1
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Beispielbild für diese ISBN
Dynamic Probabilistic Systems: Markov Models
Verlag:
Dover Publications Inc., 2007
ISBN 10: 0486458709
ISBN 13: 9780486458700
Gebraucht
Paperback
Anbieter: World of Books Inc, Montgomery, IL, USA
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: Good. 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. Bestandsnummer des Verkäufers CIN0486458709G
Gebraucht kaufen
EUR 48,03
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 1 verfügbar