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(jì)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(jì)曲率的概念，研究結(jié)構(gòu)方程模型的最大似然估計(jì)量和廣義最小二乘估計(jì)量的信息損失，得到了簡(jiǎn)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(jìn)形式，在截尾樣本場(chǎng)合利用極大似然估計(jì)方法和擬矩估計(jì)方法求出了未知參數(shù)的點(diǎn)估計(jì)，最后利用計(jì)算機(jī)模擬考察了說明本文方法的可行性。