查询词典 estimator

Large confidence intervals is a price we must pay to get a consistent estimator of the return to education when we think educ is endogenous.

如果我们认为教育是内生的，而且想要得到一致的估计，过宽的置信区间将是我们所要付出的代价。

In this paper,we introduce the consistent adjusted least squares estimator and propose a relaxed consistent adjusted least squares method,which can be applied to more general relationship,for registration.

但是，如果由于不确定因素的影响，使得不能获得两幅影像的精确配准，那么同一位置上不同时间的特征差别将会被不同位置上的特征差别所代替[3]。

Obtain an estimator that is consistent whether or not the hypothesis is true

看一下 P 值，如果 P 小于比如说0.1，或者0.05，那么，说明 IV 回归与原来的回归显著不同，原来的方程的确有内生性问题导致的估计偏误。

After a power spectrum is constructed, empirical wavelet coefficients are used to detect the jump points in the function to obtain the strong consistent estimator of the position and number of the frequencies. Numerical simulations show this method is reliable.

根据它们的协方差函数可以表示为一个Fourier级数，而其Fourier系数可通过协方差函数的逆变换得到的特性，我们对于零均值的近周期相关序列构造了类似于周期图的函数，并构造其经验小波系数，利用频率处于此函数的尖点的特性，以及此性质在经验小波系数中的反映，来确定频率的个数和位置，所有的估计量都是强相合的，此外，数值模拟的结果表明，我们的方法是有效的。

We show that under appropriate conditions,the SCAD-penalized least squares estimator is consistent for variable selection and that the estimators of nonzero coefficients have the same asymptotic distribution as they would have if the zero coefficients were known in advance.

在一定的条件下，我们证明了SCAD惩罚最小二乘估计的变量选择具有相合性，并且得到非零系数的估计与零系数已知情况下的估计具有相同的渐近分布。

When assumptions (15.4) and (15.5) hold, one can show that the IV estimator is consistent for b1, after applying the law of large numbers.

当假定(15.4)和(15.5)成立时，可以应用大数定律证明IV估计是b1的一致估计。

Theorem 5.1 : Under Assumptions MLR.1 through MLR.4, the OLS estimator is consistent for both the intercept and slope parameters.

定理5.1：在假设MLR.1到MLR.4下，OLS截距估计量和斜率估计量都是一致的估计量。

By the doubly-robust property, the estimator is consistent if either the selection probability model or the joint distribution of covariates is correctly specified.

此双稳健性质保证只要选择机率模型或是共变数的联合分配是正确的情形下，扩大逆机率加权估计量是具一致性。

In the first charpter,response variable is generalized to q dimensions, we propose the concept of QMLE and quasi function in nonlinear models, then under mild conditions, we prove that there exists the solution_n with probability 1 for sufficiently large n, and obtain the strong consistency, some results of asymptotic normality, meanwhile consistent estimator of σ~2 for QMLE for heterosedastic nonlinear models is presented.

在第一章中，我们首先将响应变量由一维推广到了多维，得出了非线性模型的极大拟似然估计的定义和拟似然方程，然后在一定的条件下，证明了当样本量n充分大时，拟似然方程以概率1有解？？_n且收敛于参数的真值(即定理1.2)，并且给出了极大拟似然估计的渐近正态性(即定理1.3，1.4)，最后考虑了异方差非线性模型的离差参数σ~2的相合估计(即定理1.5)。

We give out the estimator of the constant part function g by local linear method.

我们首先对常数项函数叭·使用局部线性估计方法，给出了它的估计；然后对系数函数肠。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。