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＜電子ブック＞
Applied Semi-Markov Processes / by Jacques Janssen, Raimondo Manca

版	1st ed. 2006.
出版者	New York, NY : Springer US : Imprint: Springer
出版年	2006
本文言語	英語
大きさ	XII, 310 p : online resource
冊子体	Ultrasound in synthesis / Steven V. Ley, Caroline M.R. Low ; :us,:gw
著者標目	*Janssen, Jacques author Manca, Raimondo author SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Finance, Public LCSH:Mathematics LCSH:Mathematical models LCSH:Security systems LCSH:Finance FREE:Probability Theory FREE:Public Economics FREE:Applications of Mathematics FREE:Mathematical Modeling and Industrial Mathematics FREE:Security Science and Technology FREE:Financial Economics
一般注記	Probability Tools for Stochastic Modelling -- Renewal Theory -- Markov Chains -- Markov Renewal Processes, Markov Random Walks and Semi-Markov Processes -- Functionals of (J-X) Processes -- Non-Homogeneous Markov and Semi-Markov Processes -- Markov and Semi-Markov Reward Processes 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 Accessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format Inaccessible, or known limited accessibility No reading system accessibility options actively disabled Publisher contact for further accessibility information: accessibilitysupport@springernature.com HTTP:URL=https://doi.org/10.1007/0-387-29548-8

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