熵损失下无失效数据的 Bayes估计

Bayes Estimation of Zero-Failure Data Under Entropy Loss

摘要:

讨论了在熵损失下定时截尾数据的 Bayes估计问题,将无失效数据看作逐次定时截尾试验的结果,进而得到无失效数据的 Bayes估计,利用相关定理证明该估计是容许的。通过数值例子,进一步说明所得估计的合理性。

Abstract:

In this paper, the Bayes estimation of type-Ⅰ censored data was discussed, and based on this result, the Bayes estimation of zero-failure data was obtained with considering the zero-failure data as the time type-Ⅰ censored data. With correlational theorem the admissibility of the estimation was proved. Finally, the rationali. ty of the estimation via numerical example was accounted.