• DocumentCode
    3514627
  • Title

    Statistical analysis for weibull distributions in presence of right and left censoring

  • Author

    Polpo, Adriano ; Coque, Marcos, Jr. ; PEREIRA, Carlos

  • Author_Institution
    Dept. of Stat., UFSCar, Sao Carlos, Brazil
  • fYear
    2009
  • fDate
    20-24 July 2009
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    Series system reliability is based on the minimum life time of its components. Its dual, the parallel system, is based on maximum. Here, we consider the statistical analysis of both, series and parallel, systems where the components follow the Weibull parametric model. Our perspective is Bayesian. Due to the mathematical complexity, to obtain the posterior distribution we use the Metropolis-Hasting simulation method. Based on this posterior, we evaluated the evidence of the Full Bayesian Significance Test (FBST) for comparing the reliabilities of the components. The reason for using FBST is the fact that we are testing precise hypotheses. We also compute the probability of a particular component be responsible for the system failure. An example illustrates the methodology.
  • Keywords
    Bayes methods; Weibull distribution; reliability theory; simulation; statistical testing; Bayesian method; Metropolis-Hasting simulation method; Weibull distribution; full Bayesian significance test; mathematical complexity; parallel system reliability; posterior distribution; probability; right-left censoring; series system reliability; statistical analysis; system failure; Bayesian methods; Computational modeling; Electronic mail; Parameter estimation; Parametric statistics; Reliability; Statistical analysis; Statistical distributions; Testing; Weibull distribution; Metropolis-Hasting; evidence; significance test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4903-3
  • Electronic_ISBN
    978-1-4244-4905-7
  • Type

    conf

  • DOI
    10.1109/ICRMS.2009.5270204
  • Filename
    5270204