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1·The efficiency of regression estimate was usually higher than systematic sampling.

通常情况下，回归估计的效率高于系统抽样。

2·Now it is applied in Pattern Recognition, regression estimate and probability estimate.

目前，主要应用在模式识别、回归估计、概率密度函数估计等方面。

3·We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.

本文在矩阵损失下研究了一般增长曲线模型中随机回归系数线性估计的可容许性。

4·Existing temporal component extraction method USES multiple regression analysis (MRA) after the application of temporal PCA to estimate the amplitude of resultant components and thus made it up.

现有的时间成分提取法在进行时间pca之后，利用重回归分析来估计成分的波形和振幅，从而弥补了这一缺陷。

5·A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy.

摘要提出了一种新的自适应约简相关向量机回归算法来估计图像的光照色度以达到色彩一致性目的。

6·The kernel estimate of nonparametric regression function has been researched recently.

非参数回归函数的核估计近年来已有了一些研究。

7·A structural regression model for causal inference is established to estimate the average treatment effect under strongly ignorable treatment assignment.

建立强可忽略处理分配条件下因果推断的结构回归模型，估计平均处理效应。

8·Problems of regression function estimate is a basic problem in statistical theory.

回归估计是统计学中基本问题之一。

9·A dynamic catalyst coking model and multi-variant linear regression model are used to estimate the parameters of catalyst coking model.

提出了采用动态结焦模型以及新鲜催化剂结焦速率的线性回归模型来估计结焦模型参数的方法。

10·This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.

给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。