Applied Semi-Markov Processes

Name: Applied Semi-Markov Processes
Brand: Springer-Verlag New York Inc.
SKU: 9781441939920
Price: 45700 HUF
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Szerző: Jacques Janssen, Raimondo Manca

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems....

Információk a könyvről

Szerző

Jacques Janssen, Raimondo Manca

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

310

EAN

9781441939920

ISBN

144193992X

Enbook ID

01422525

Kiadó

Springer-Verlag New York Inc.

Súly

510

Méretek

235 x 157 x 27

Teljes leírás

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.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.

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Applied Semi-Markov Processes

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