maximum likelihood estimator

基本解释

The maximum likelihood estimator for population average treatment effect is proved to be consistent, unbiased and asymptotically normal .
并且证明了在正态分布的假设下，该总体平均因果效应的极大似然估计是相合无偏且渐近正态的。
By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalized least squares estimator is investigated.
利用统计曲率的概念，研究结构方程模型的最大似然估计量和广义最小二乘估计量的信息损失，得到了简明的结果。
Also in the paper, we get the point estimator of unknown parameters by using the maximum likelihood estimator method and simulated moment estimator method based on the censored sample.
给出了其寿命分布函数步进形式，在截尾样本场合利用极大似然估计方法和拟矩估计方法求出了未知参数的点估计，最后利用计算机模拟考察了说明本文方法的可行性。