rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Semi-Markov Chains and Hidden Semi-Markov Models toward Applications
    sub title: Their use in Reliability and DNA Analysis
  name:
    name part: Limnios, Nikolaos.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Barbu, Vlad Stefan.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 226 p. online resource.
  abstract: 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. Vlad Stefan Barbu is associate professor in statistics at the University of Rouen, France, Laboratory of Mathematics ‘Raphaël Salem.’ His research focuses basically on stochastic processes and associated statistical problems, with a particular interest in reliability and DNA analysis. He has published several papers in the field. Nikolaos Limnios is a professor in Applied Mathematics at the University of Technology of Compiègne. His research interest concerns stochastic processes and statistics with application to reliability. He is the co-author of the books: Semi-Markov Processes and Reliability (Birkhäuser, 2001 with G. Oprisan) and Stochastic Systems in Merging Phase Space (World Scientific, 2005, with V.S. Koroliuk).
  table of 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.
  note: by Nikolaos Limnios, Vlad Stefan Barbu.
  subject:
    topic: Mathematics
  subject:
    topic: Bioinformatics
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Bioinformatics
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Statistics, 191
  identifier: 9780387731735
  identifier: http://dx.doi.org/10.1007/978-0-387-73173-5
  record info:
    record creation date: 100301
    record change date: 20151204182751.0
    record identifier: 978-0-387-73173-5