• DocumentCode
    1353679
  • Title

    Bayes Estimation of the Reliability Function of Normal Distribution

  • Author

    Sinha, S.K.

  • Author_Institution
    S. K. Sinha; Dept. of Statistics; University of Manitoba; Winnipeg, Manitoba, R3T 2N2 CANADA.
  • Issue
    4
  • fYear
    1985
  • Firstpage
    360
  • Lastpage
    362
  • Abstract
    Bayes estimates of the survivor function of the s-normal distribution are obtained using the predictive distribution and some recent results on Bayes approximations due to Lindley. Monte Carlo simulation was used. These estimates have smaller rms error than that of their maximum likelihood counterparts. Except for large samples, the exact estimators based on the predictive distribution perform better than the Lindley approximate estimators.
  • Keywords
    Art; Error analysis; Gaussian distribution; Life estimation; Life testing; Maximum likelihood estimation; Reliability theory; State estimation; Statistical analysis; Statistical distributions; Jeffreys prior; Lindley approximation; Maximum likelihood estimate; Posterior mean; Predictive distribution; Square-error of estimate;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1985.5222193
  • Filename
    5222193