Semi-Markov chains and hidden semi-Markov models toward applications : their use in reliability and DNA analysis / Vlad Stefan Barbu, Nikolaos Limnios.
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TextLanguage: English Series: Lecture notes in statistics ; v. 191Publication details: New York : Springer, 2008. Description: xiii, 224 p. : ill. ; 24 cmISBN: 9780387731711 (hbk.); 0387731717 (hbk.); 9780387731735Subject(s): Markov processes | Reliability (Engineering) -- Mathematical modelsDDC classification: 519.233 LOC classification: QA274.7 | .B37 2008Online resources: WorldCat details | E-Book Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 519.233 BAS 2008 (Browse shelf(Opens below)) | Not for loan | ||||
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.233 BAS 2008 (Browse shelf(Opens below)) | C-1 | Not For Loan | 26627 |
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| 519.2 ROI 2010 Introduction to probability models / | 519.2 ROS 2013 Simulation / | 519.2 STS 2001 Stochastic calculus and financial applications / | 519.233 BAS 2008 Semi-Markov chains and hidden semi-Markov models toward applications : | 519.233 ISM 2009 Markov models with covariate dependence for repeated measures / | 519.24 BAC 2009 Continuous bivariate distributions / | 519.24 PAH 2006 Handbook of exponential and related distributions for engineers and scientists / |
Includes bibliographical references and index.
TOC Contents: Discrete-Time Renewal Processes.- Semi-Markov Chains.- Non parametric Estimation for Semi-Markov Chains.- Reliability Theory for Discrete-Time Semi-Markov Systems.- Hidden Semi-Markov Model and Estimation.
Summary:
"This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes are much more general and better adapted to applications than the Markov ones because sojourn times in any state can be arbitrarily distributed, as opposed to the geometrically distributed sojourn time in the Markov case. Another unique feature of the book is the use of discrete time, Read more...
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Saifun Momota
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