• DocumentCode
    1024263
  • Title

    On estimating the mean time to failure with unknown censoring

  • Author

    Shanmugam, Ramalingam ; Richards, Dale O.

  • Author_Institution
    Colorado Univ., Denver, CO, USA
  • Volume
    38
  • Issue
    3
  • fYear
    1989
  • fDate
    8/1/1989 12:00:00 AM
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    Sometimes, in reliability studies, neither the life of all failed units nor the number of units still functioning is known at any specific time due to problems such as administrative delays. Consequently, one might consider an estimate of the mean time to failure (MTTF) based only on known failure times of part of the units. An investigation is conducted into the bias and efficiency of such an estimator for either an exponential or a Weibull distribution. In the exponential case, exact expressions are obtained, and, for the Weibull case, a Monte Carlo simulation was used. The estimate of MTTF based on known lifetimes of failed units alone underestimates with smaller variance and higher mean squared error than does the estimate based on the total accumulated lifetime of both failed and surviving units
  • Keywords
    Bayes methods; Monte Carlo methods; failure analysis; reliability theory; statistical analysis; Bayes method; MTTF; Monte Carlo simulation; Weibull distribution; estimator; exponential distribution; mean time to failure; reliability; unknown censoring; Delay estimation; Exponential distribution; Failure analysis; Life estimation; Lifetime estimation; Maximum likelihood estimation; Reliability engineering; Statistical analysis; Statistical distributions; Weibull distribution;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.44178
  • Filename
    44178