• DocumentCode
    1111562
  • Title

    Large-sample estimation of reliability under the exponential distribution in life testing

  • Author

    Huynh, Cam-Loi ; Sinha, S.K. ; Xiong, Zheng Xin

  • Author_Institution
    Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    43
  • Issue
    2
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    270
  • Lastpage
    274
  • Abstract
    The exact formula for the variance of the uniformly minimum variance unbiased estimator (UMVUE) of the reliability function, R(t), for exponential life is quite cumbersome. A simple expression for the asymptotic variance of the UMVUE of R(t) is found. Interval estimates of R(t) are also constructed. By comparing the approximations to the exact values in several configurations of sample size and population parameter, the derived formula is shown to be useful for sample sizes larger than 15
  • Keywords
    approximation theory; life testing; reliability theory; approximations; asymptotic variance; exponential distribution; exponential life; interval estimates; large sample size; life testing; population parameter; reliability estimation; reliability function; uniformly minimum variance unbiased estimator; Analysis of variance; Body sensor networks; Exponential distribution; Life estimation; Life testing; Maximum likelihood estimation; Mean square error methods; Probability; Sampling methods; Standards development;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.295007
  • Filename
    295007