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1·This test only needs consistent estimator and is easy to compute.

这种检验方法仅需参数的一致估计量，便于计算。

2·The general structural error-in-variable regression models is discussed. A consistent estimator of the regression parameter is presented.

讨论一般结构关系度量误差模型的大样本理论，给出了未知参数的一个强相合估计。

3·To prove that OLS estimators are asymptotically efficient, one needs to (1) present an estimator that is consistent but its variance is larger.

为了证明ols估计量是渐近有效的，我们需要(1)给出一致的估计量但证明它有更大的方差。

4·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。