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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
Generalized Estimation Equation (GEE) was used to estimate parameters of poisson regression model.
采用了通用估计方程(GEE)方法对泊松回归模型进行参数估计。
Our research shows that when sample size is greater than 50, the least square estimate of regression coefficiencies has high estimate precision.
结果表明，当样本大小大于50时，回归系数的最小二乘估计具有较高的估计精度；
The standard error of estimate, on the other hand, measures the variability, or scatter, of the observed values around the regression line.
而估计值的平均误差，却是度量观察值围绕着回归直线的变化程度或分散程度。
Marginal regression models can be used to estimate regression coefficients and association parameters for two kinds of data.
对两种类型资料边际回归模型都可以同时估计回归系数和关联参数。
Objective To improve on classical least squares estimate of regression analysis and explore nonparametric smoothing spline regression analysis.
目的改进回归分析的经典最小二乘估计方法和探讨光滑样条非参数回归分析方法。
Pathcoefficient analysis was conducted to estimate the direct effect of each trait with successive regression.
继而通过逐步回归进一步进行通径分析，明确了各性状的直接效应。
In the second chapter, I propose semi-parametric estimate to get median regression models with the measured error margin and use it to estimate the mediant of survival data.
因此在第二章，本人用半参数方法提出了协变量测量有误差时的中值回归模型，用它来估计寿命变量的中值。
The aim of multiple regression analysis is to determine regression equations of relative variables, in doing so, We can estimate numeral value of dependent variable.
多元回归分析的目的是确定有关变量间的回归方程，从而估计因变量的数值。
It was proven theoretically that the estimate errors of unbiased regression estimation are less than that of general regression estimation.
提出了无偏回归估计方法，从理论上证明了该法比常规的估计法具有更小的平均估计误差。
We used Cox regression models to estimate the risk of cancer and adjust for potential confounding factors.
我们使用Cox回归模型来估计罹患癌症的风险并根据潜在的混淆因素进行校正。
On the basis of regression analysis, a method is advanced which can estimate quality of feed according to amount of seed distributed.
在对数据作进一步回归分析的基础上，本文建立了一套“由排种粒数预测排种质量”的方法。
Regional regression method was used to estimate annual runoff in regions without gauging.
应用区域回归法进行无资料地区径流计算。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
The equation for resistance estimate for different dead rise angles is obtained by the regression analysis method.
由回归分析方法给出了不同斜升角情况下的阻力估算式。
We used logistic regression analyses to estimate the relative risk of birth outcomes with 95% confidence intervals.
采用对数的回归分析评价生育的相对危险性，可信区间为95%。
This paper gives a new kernel estimate, bandwidth parameter and the bias-corrected confidence belt for nonparametric regression curve.
对非参数回归曲线提出了一种新的核估计量和窗宽选择方法及修正偏倚置信带。
Panel spurious regression and. cointegration , especially panel cointegration of dependence section, is noteworthy. How to test and estimate the panel cointegration is also a important question.
面板数据的不稳定性导致的伪回归、协整检验及协整方程估计，尤其是部门依赖的协整检验及估计是一个有待解决的重要问题。
In this paper we repeatedly draw information from the seemingly unrelated regression equations and introduce a method that can be used to improve the covariance improvement estimate (CIE).
对半相依回归线性系统，我们周期地使用迭加信息的方法，得出了回归系数广义协方差改进估计。
Cox regression was performed to estimate the association between different risk factors and graft survival and acute rejection episodes.
Cox回归是用来估计不同危险因素与移植肾存活和急性排斥的关系。
Cox regression was performed to estimate the association between different risk factors and graft survival and acute rejection episodes.
Cox回归是用来估计不同危险因素与移植肾存活和急性排斥的关系。
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