@article {IOPORT.03988561,
    author       = {Sinha, S.K.},
    title        = {Bayes estimation of the reliability function of normal distribution.},
    year         = {1985},
    journal      = {IEEE Transactions on Reliability},
    volume       = {34},
    issn         = {0018-9529},
    pages        = {360-362},
    publisher    = {Institute of Electrical and Electronics Engineers (IEEE), Washington, DC},
    doi          = {10.1109/TR.1985.5222193},
    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 {\it D. V. Lindley} [Bayesian statistics, Proc. 1st int. Meet., Valencia 1979, 223-245 (1980; Zbl 0458.62002)]. Monte-Carlo simulation was used. These estimates have smaller root-mean- square 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.},
    identifier   = {03988561},
}