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Semi-Markov Chains and Hidden Semi-Markov Models toward Applications

Their use in Reliability and DNA Analysis
BuchKartoniert, Paperback
226 Seiten
Englisch
Springererschienen am28.08.2008
Here is a work that adds much to the sum of our knowledge in a key area of science today. It is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes, with the use of discrete time offering a unique approach.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR131,50
E-BookPDF1 - PDF WatermarkE-Book
EUR117,69

Produkt

KlappentextHere is a work that adds much to the sum of our knowledge in a key area of science today. It is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes, with the use of discrete time offering a unique approach.
Details
ISBN/GTIN978-0-387-73171-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2008
Erscheinungsdatum28.08.2008
ReiheLecture Notes in Statistics
Seiten226 Seiten
SpracheEnglisch
Gewicht386 g
IllustrationenXIV, 226 p.
Artikel-Nr.10840748

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr
Kritik
From the reviews:

"Overall, this is a stimulating book. As it says, the discrete-time framework has been underused in the past in the view of the fact that much real data in practice (I would even say most) is recorded in discrete time. Also, the applications listed, particularly the DNA sequencing, are important ad timely." (Martin Crowder, International Statistical Review 2009, 77, 2)

"Barbu and Limnios's goal is to present a complete picture of the basic theory of finite state space semi-Markov processes in discrete time, describe its applications to reliability and DNA analysis, and obtain estimation results for hidden semi-Markov models (HSSM). ... Each chapter contains several exercises. There are five appendices that render the book self-contained. ... I highly recommend this book for applied probabilists and statisticians interested in reliability and DNA analysis, and for theoretically oriented reliability and bioinformatics engineers." (P. R. Parthasarathy, ACM Computing Reviews, March, 2009)

"...this book will be useful as a reference for researchers interested in discrete-time semi-Markov and hidden semi-Markov processes..." (Biometrics 65, 1312, December 2009)mehr

Schlagworte

Autor

Two important types of models for reliability and genetics, the semi-Markov and hidden semi-Markov models are presented in this book. Their importance relies on the fact that they generalize several previous models and provide new possibilities to handle real problems. For reliability scientists and engineers, this book comes with a new method for studying systems reliability and it offers modelling and estimation tools. As for the biologists, this work offers them a more adapted model for DNA analysis, namely the hidden semi-Markov model, which is more flexible than the hidden Markov models, extensively used in this field. Moreover, the hidden semi-Markov framework can be used in many other applications, such as reliability, signal treatment, speech or image processing, among others.