Introduction to Stochastic Models
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Introduction to Stochastic Models by Marius Iosifescu
Book DescriptionThis 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 introduction to stochastic models, will find this title of invaluable use.
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Book DetailsISBN: 9781848210578
(237mm x 164mm x 26mm)
Imprint: ISTE Ltd and John Wiley & Sons Inc
Publisher: ISTE Ltd and John Wiley & Sons Inc
Publish Date: 9-Mar-2010
Country of Publication: United Kingdom
Books By Author Marius Iosifescu
Dependence with Complete Connections and Its Applications, Paperback (January 2009)» View all books by Marius Iosifescu
The book will appeal to mathematicians working in probability theory, ergodic theory and number theory
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Author Biography - Marius Iosifescu
Marius Iosifescu is a member and vice-president of the Romanian Academy of Sciences and director of the Bucharest Institute of Mathematical Statistics and Applied Mathematics. His research concerns stochastic processes, the probabilistic theory of numbers and their applications. Nikolaos Limnios is a professor of applied mathematics at the University of Technology of Compiegne, France. His research and teaching activities concern stochastic processes, statistical inference and their applications.Gheorghe Oprisan is a professor of applied mathematics at the 'Politehnica' University of Bucharest and the head of the Mathematical section II there. His research concerns stochastic processes and their applications.
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