给出了定数截尾双参数指数分布在缺失数据场合下的极大似然估计值和Bayes近似估计值,并在此基础上讨论了该Bayes近似估计关于实验样本个数n的迭代收敛速度,随机模拟表明,Bayes近似估计值的精度要高于极大似然估计值.
This paper gives the Maximum Likelihood Estimate and the Bayes estimations for two-pa rameter exponential distribution under multiply type Ⅱ censoring. And then the convergence rate of the Bayes approximate estimates according to the number of the samples (n) is also discussed based on the estimate. Finally, it is showed the precision of the Bayes Approximate Estimate is better than the Maximum Likelihood Estimate by the simulation results.