Semi-Markov chains and hidden semi-Markov models toward applications : their use in reliability and DNA analysis / Vlad Stefan Barbu and Nikolaos Limnios.

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. This book concerns with the estimation of discrete-time...

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Bibliographic Details
Main Author:	Barbu, Vlad Stefan
Other Authors:	Limnios, N. (Nikolaos)
Format:	eBook
Language:	English
Published:	New York : Springer, 2008.
Series:	Lecture notes in statistics (Springer-Verlag) ; v. 191.
Subjects:	Markov processes. Reliability (Engineering) > Mathematical models. DNA > Analysis > Mathematics. DNA > Mathematical models. Stochastic processes. Nucleic acids. Statistics. Public health. Medical care. Probabilities. Mathematical models. DNA. Reproducible research. public health. probability. mathematical models. statistics. MATHEMATICS > Probability & Statistics > Stochastic Processes. Modelos matemáticos Estadística Salud pública Markov, Procesos de Stochastic processes Statistics Public health Probabilities Nucleic acids Medical care Mathematical models DNA DNA > Mathematical models Markov processes Reliability (Engineering) > Mathematical models
Online Access:	Click for online access

Table of Contents:

Preface; Contents; Introduction; Discrete-Time Renewal Processes; Semi-Markov Chains; Nonparametric Estimation for Semi-Markov Chains; Reliability Theory for Discrete-Time Semi-Markov Systems; Hidden Semi-Markov Model and Estimation; Lemmas for Semi-Markov Chains; Lemmas for Hidden Semi-Markov Chains; Some Proofs; Markov Chains; Miscellaneous; Notation; References; Index.

Semi-Markov chains and hidden semi-Markov models toward applications : their use in reliability and DNA analysis / Vlad Stefan Barbu and Nikolaos Limnios.

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