共线性的影响是使回归系数不可靠。
The effect of colinearity is to make the regression coefficients unreliable.
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。
We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.
第三章是关于回归系数的可容许估计，这包括统计线性模型不受约束和受约束的情形。
In the third part, we give the admissible estimators of regression coefficients in statistical linear model with or without constraints.
本文讨论增长曲线模型回归系数的线性估计的容许性。
In this paper, we consider the admissibility of linear estimates of regression coefficients in growth curve model.
本文讨论多元回归系数线性估计的可容许性。
In this paper, we discuss the admissibility for linear estimates on multivariate regression coefficients.
结果表明，在设计矩阵高度共线性时，用奇异值分解的迭代加细可以改进回归系数的估计。
Results show that iterative refinement using the SVD can improve regression coefficient estimates in the cases where the design matrix is highly collinear.
本文介绍了文献中常见的线性有偏估计，在此基础上提出和讨论了回归系数的泛岭估计，它是常见线性有偏估计的统一表达形式。
In this paper, based on the linear biased estimates in the present literature, we propose and discuss the universal ridge estimates which is a unitary expression.
拟合方差与回归系数标准偏差存在明显的相关关系。线性模型能解释的方差越大，回归系数标准偏差越小。
It is found that the more the variance explained by the linear model, the smaller the standard deviation of regression coefficient.
本文论述多元线性回归中的回归系数与偏相关系数之间的数量关系以及它们的统计意义。
This paper deals with the quantitative relations between regression coefficients and partial correlation coefficients in multivariate linear regression, and their statistical meanings.
在线性回归中，常用最小二乘估计求线性方程的回归系数。
In linear regression, the least squares estimation is heavily innuenced with outlyers.
本文讨论带约束生长曲线模型中回归系数线性估计的泛容许性，给出了回归系数的线性估计在线性估计类中是泛容许估计的充要条件。
In this paper, we will consider the universal admissibility for linear estimators of regression coefficients under growth curve model with respect to restricted parameter sets.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
本文主要研究了带约束线性模型回归系数岭估计的影响分析问题。
This article mainly studies the influence analysis of ridge estimation in restricted linear model.
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。
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).
用多变量线性回归方法计算不同母乳喂养方式和认知能力之间的粗回归系数和校正的回归系数。
Multivariable linear regressions were created to estimate crude and adjusted relations of various BF measures and later cognitive ability.
用多变量线性回归方法计算不同母乳喂养方式和认知能力之间的粗回归系数和校正的回归系数。
Multivariable linear regressions were created to estimate crude and adjusted relations of various BF measures and later cognitive ability.
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