重权数方法与重抽样方法类似，也是利用计算机的优势通过重复获得大量不同的子样本的重权数估计目标参数的估计量和方差估计量，是一种稳健、通用、有效的方差估计方法。
Replicate weight, which is similar with replicated sample method, gets a lot of replicated weights to obtain the estimators by computer, it is also a robust, common and effective method.
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.
该方法依据极大似然原理将来自不同母体(均值相同、方差不同)的随机样本有效融合，得到新的母体均值估计量。
According to maximum likelihood theory, it fuses random samples coming from different matrix (same mean different variance) in an effective way, and gains a nwe estimator of matrix mean.
这种方法对反射系数的估计量具有最小误差方差的性质。
The estimator got from this algorithm has the smallest variance of error among all linear estimators of reflection coefficients.
应用极值理论，通过极值指数估计量，提出了一种可行的对异方差的检验方法。
One kind of heteroscedasticity testing method was proposed through extreme value theory and extreme value index estimator.
给出非参数回归模型中估计量的渐近偏差和渐近方差，并在适当条件下利用大小分块的思想获得了该估计量的渐近正态性。
Given the asymptotic bias and the asymptotic variance of estimation, moreover obtained the asymptotic normality of the estimation under certain condition using small-block and large-block arguments.
给出非参数回归模型中估计量的渐近偏差和渐近方差，并在适当条件下利用大小分块的思想获得了该估计量的渐近正态性。
Given the asymptotic bias and the asymptotic variance of estimation, moreover obtained the asymptotic normality of the estimation under certain condition using small-block and large-block arguments.
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