Introduction to stochastic models
This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson...
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| Other Authors: | , |
| Format: | eBook |
| Language: | Inglés |
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London : Hoboken, N.J. :
ISTE ; Wiley
2010.
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| Edition: | 1st edition |
| Series: | Applied stochastic methods series.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628455206719 |
| Summary: | This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest models, genetic models, optimal stopping, reliability, reservoir theory, storage models, and queuing systems. Given this comprehensive treatment of the subject, students and researchers in applied sciences, as well as anyone looking for an introduc |
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| Item Description: | "First published 2007 in France by Hermes Science/Lavoisier entitled: Modeles stochastiques"--t.p. verso. |
| Physical Description: | 1 online resource (385 p.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118623527 9781118623220 9781299315655 9780470394076 |
