• DocumentCode
    2131036
  • Title

    Statistical Inference for Multi-state Systems: The Weibull Case

  • Author

    Makrides, Andreas ; Karagrigoriou, Alex

  • Author_Institution
    Dept. of Math. & Stat., Univ. of Cyprus, Nicosia, Cyprus
  • fYear
    2013
  • fDate
    2-6 Sept. 2013
  • Firstpage
    747
  • Lastpage
    752
  • Abstract
    Markov processes are widely used for reliability analysis because the number of failures in arbitrary time intervals in many practical cases can be described as a Poisson process and the time up to the failure and repair time are often exponentially distributed. In this work we focus on the estimation of both the intensity rates and transition probabilities via output performance observations using as an alternative distribution, the well known Weibull distribution.
  • Keywords
    Markov processes; Weibull distribution; inference mechanisms; probability; Markov processes; Poisson process; Weibull distribution; intensity rates; multi state systems; reliability analysis; statistical inference; transition probabilities; Estimation; Exponential distribution; Markov processes; Reliability theory; Shape; Weibull distribution; Multi-state system; Reliability theory; Weibull; transition intensities; transition probabilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Availability, Reliability and Security (ARES), 2013 Eighth International Conference on
  • Conference_Location
    Regensburg
  • Type

    conf

  • DOI
    10.1109/ARES.2013.99
  • Filename
    6657315