摘要
基于指数分布定时截尾寿命试验,给出了失效率λ的E-Bayes估计.研究了在超参数取不同密度函数时λ的E-Bayes估计之间的关系和收敛速度以及估计量关于超参数的稳健性,并通过实例,给出了不同超参数下失效率λ和可靠度R(t)的计算结果.
Based on the Type- I censoring life test under the exponential distribution condition, the E-Bayesian estimation of failure rate λ, is presented in this paper. The relationship and conver- gence rate of the E-Bayes estimation of ）, are considered when super parameters select different density functions, and the robustness of estimator related to super parameter is discussed. Some examples have been applied to calculate failure rate λ and reliability R（t） under different super parameters.
出处
《山东理工大学学报（自然科学版）》
CAS
2015年第2期40-43,共4页
Journal of Shandong University of Technology:Natural Science Edition
关键词
指数分布
先验分布
超参数
失效率
E-BAYES估计
exponential distribution
prior distribution
super parameter
failure rate
E-Bayesian estimation
