consistent estimator

The maximum likelihood estimator for population average treatment effect is proved 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.

Is it possible for an estimator to be biased in finite sample but consistent in large sample?

一个估计量是否有可能在有限样本中是有偏的但又具有一致性？

Under some conditions, we get consistent property of this estimator and its asymptotic distribution.

在一些条件下，我们建立了该估计的相合性质和渐近分布性质。

Consistent uniformly asymptotically normal estimator

相容一致渐近正态估计量

This paper studies the relationship between DEA and maxium likelihood estimator. It is proved that under certain conditions, DEA is shown to be maximum likelihood estimator. It is also proved that DEA is a biased as well as a consistent estimator.

本文研究了数据包络分析（DEA）方法与极大似然估计的关系，证明了一定条件下，DEA为极大似然估计，并且是一个有偏一致估计。

The problem of parameter estimator of structural error-in-variable models is considered. A kind of the model's parameter estimate method is given for any parameter space Θ. The strong consistent property of the estimator is shown.

考虑结构关系度量误差模型的参数的估计问题，对于任何参数空间Θ，给出模型参数的一种估计方法，并证明这种估计是强相合的。