Semi-Markov chains and hidden semi-Markov models toward applications - Info and Reading Options
their use in reliability and DNA analysis
By Vlad Stefan Barbu

"Semi-Markov chains and hidden semi-Markov models toward applications" was published by Springer in 2008 - New York, it has 224 pages and the language of the book is English.
“Semi-Markov chains and hidden semi-Markov models toward applications” Metadata:
- Title: ➤ Semi-Markov chains and hidden semi-Markov models toward applications
- Author: Vlad Stefan Barbu
- Language: English
- Number of Pages: 224
- Publisher: Springer
- Publish Date: 2008
- Publish Location: New York
“Semi-Markov chains and hidden semi-Markov models toward applications” Subjects and Themes:
- Subjects: ➤ Mathematical models - Reliability (Engineering) - DNA - Analysis - Markov processes - Reliability (engineering) - Dna - Markov Chains - Theoretical Models - Reproducibility of Results - Mathematics - Processus de Markov - Fiabilité - Modèles mathématiques - ADN - Analyse - Semi-Markov-Modell - Semi-Markov-Prozess - Bioinformatics - Distribution (Probability theory) - Mathematical statistics - Operations research - Statistics - System safety
Edition Specifications:
- Pagination: xiii, 224 p. :
Edition Identifiers:
- The Open Library ID: OL23053364M - OL13740045W
- Online Computer Library Center (OCLC) ID: 173718690
- Library of Congress Control Number (LCCN): 2008930930
- ISBN-13: 9780387731711
- ISBN-10: 0387731717
- All ISBNs: 0387731717 - 9780387731711
AI-generated Review of “Semi-Markov chains and hidden semi-Markov models toward applications”:
"Semi-Markov chains and hidden semi-Markov models toward applications" Description:
The Open Library:
"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, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis." "The book is mainly intended for applied probabilists and statisticians interested in semi-Markov chains theory, reliability and DNA analysis, and for theoretical oriented reliability and bioinformatics engineers. It can also serve as a text for a six month research-oriented course at a Master or PhD level. The prerequisites are a background in probability theory and finite state space Markov chains."--Jacket.
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