带有不完全信息随机截尾试验下Weibull分布参数的MLE的相合性及渐近正态性

Consistency and Asymptotic Normality of MLE of the Parameters of Weibull Distribution for Random Censoring Model with Incomplete Information

本文证明了，对于Ｗｌｉｂｕｌｌ分布，基于带有不完全信息随机截尾试验数据获得的参数的极大似然估计（ＭＬＥ）具有强相合性及渐近正态性．

In this paper, we have proved that the maximum likelihood estimators of the parameters of Weibull distribution based on the randomly censored data with incomplete information have the strong consistency and asymptotic normality.