maximum likelihood estimator

基本解釋

The maximum likelihood estimator for population average treatment effect is proved to be consistent, unbiased and asymptotically normal .
并且證明了在正態(tài)分布的假設(shè)下，該總體平均因果效應(yīng)的極大似然估計是相合無偏且漸近正態(tài)的。
By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalized least squares estimator is investigated.
利用統(tǒng)計曲率的概念，研究結(jié)構(gòu)方程模型的最大似然估計量和廣義最小二乘估計量的信息損失，得到了簡明的結(jié)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.
給出了其壽命分布函數(shù)步進形式，在截尾樣本場合利用極大似然估計方法和擬矩估計方法求出了未知參數(shù)的點估計，最后利用計算機模擬考察了說明本文方法的可行性。