这种检验方法仅需参数的一致估计量，便于计算。
This test only needs consistent estimator and is easy to compute.
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。
To prove that OLS estimators are asymptotically efficient, one needs to (1) present an estimator that is consistent but its variance is larger.
是否有可能(一个估计量)是无偏却不一致的？
Is it possible for an estimator to be unbiased but inconsistent?
本文讨论了一类新的半参数回归模型，在一组比较基本的条件下，得到了估计量的较好的一致强收敛速度。
In this paper, we have considered a new class of semiparametric regression model Under some mild conditions we have obtained better uniformly strong convergence rates for the proposed estimators.
第三节给出了本文的主要结果，即各估计量的一致强收敛速度。
In the third section, we have presented the main result of the paper, namely the uniformly strong convergence rates for each estimator.
运用广义最小二乘法研究了一类半线性模型中的参数、函数的估计量问题，并证得估计量的一致性结果。
The estimators problem of parameters and functions in Semi-Linear Model were studied by Generalized Least Square method. The agreement between parameters and functional estimators was then presented.
虽然并不是所有的有用的估计量是无偏的，但是，一致性则是经济学家对估计量的最低要求。
While not all useful estimators are unbiased, virtually all economists agree that consistency is a minimal requirement for an estimator.
虽然并不是所有的有用的估计量是无偏的，但是，一致性则是经济学家对估计量的最低要求。
While not all useful estimators are unbiased, virtually all economists agree that consistency is a minimal requirement for an estimator.
应用推荐