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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Detalles Bibliográficos
Autor principal: Iosifescu, Marius (-)
Otros Autores: Limnios, N. (Nikolaos), Oprisan, Gheorghe
Formato: Libro electrónico
Idioma:Inglés
Publicado: London : Hoboken, N.J. : ISTE ; Wiley 2010.
Edición:1st edition
Colección:Applied stochastic methods series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628455206719
Descripción
Sumario: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
Notas:"First published 2007 in France by Hermes Science/Lavoisier entitled: Modeles stochastiques"--t.p. verso.
Descripción Física:1 online resource (385 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781118623527
9781118623220
9781299315655
9780470394076