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。
In the third part, we give the admissible estimators of regression coefficients in statistical linear model with or without constraints.
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。
Objectives and Assumptions of Linear Regression, Estimating Regression Coefficients, Normal Equations.
线性规划的假设与目的，规划估计，系数，标准方程。
In this paper, we consider the admissibility of linear estimates of regression coefficients in growth curve model.
本文讨论增长曲线模型回归系数的线性估计的容许性。
This paper deals with the quantitative relations between regression coefficients and partial correlation coefficients in multivariate linear regression, and their statistical meanings.
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。
The correlative coefficients of linear regression function for isochronous stress-strain curve are all higher than 0.
应力-应变等时曲线线性回归函数的相关系数均高于0。
In this paper, we discuss the admissibility for linear estimates on multivariate regression coefficients.
本文讨论多元回归系数线性估计的可容许性。
Applying L1 or L2 to penalize large coefficients is a common way to regularize linear or logistic regression.
使用L1或L2去惩罚大系数是一种正则化线性或逻辑回归模型的常见方式。
By using LINGO software, coefficients can be estimated for linear least absolute deviations regression quickly and accurately, making it an effective approach to coefficient estimation.
利用LINGO软件能够快速、准确地估计出最小一乘线性回归的参数，从而使其成为一种有效的参数估计方法。
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.
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。
The overlapping chromatographic peaks are resolved by linear regression method, and the concentration of each component is determined. The correlation coefficients are less than 0.960.
应用线性回归法对重叠色谱峰进行处理，确定了重叠峰中各组分的浓度，相关系数不小于0.960。
The empirical equations for predicting heat transfer coefficients and fluid resistance factors are given by the multi-element linear regression method.
并用多元回归法整理出计算传热与阻力系数的经验并联式。
The empirical equations for predicting heat transfer coefficients and fluid resistance factors are given by the multi-element linear regression method.
并用多元回归法整理出计算传热与阻力系数的经验并联式。
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