Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.
The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.
Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes.
The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes. The book presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes. These concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.
Audience
This book is intended for graduate students and researchers in mathematics, operations research and engineering; it might also appeal to actuaries and financial managers, and anyone interested in its applications for banks, mechanical industries for reliability aspects, and insurance companies.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Paperback. Condizione: new. Paperback. Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes.The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here. Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes. Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes. The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781441939920
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes.The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here. 324 pp. Englisch. Codice articolo 9781441939920
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book to present the theory of semi-Markov processes in view of its applications to real-world problemsAims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.The book is self-contained and, sta. Codice articolo 4174356
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Condizione: New. Num Pages: 322 pages, biography. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 498. . 2010. Softcover reprint of hardcover 1st ed. 2006. Paperback. . . . . Codice articolo V9781441939920
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