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1)  dynamic regression coefficients
动态回归系数
1.
In the case that the dynamie regression coefficients are linear combination of some time functions,the estimation of dynamic regression coefficients is obtained and two advantageous properties of the estimation are proved.
目标是探讨动态回归系数随时间变化的规律,并从数理统计学角度研究如何对其作出合理的推断。
2)  dynamic statistical model
动态回归
3)  regression coefficient
回归系数
1.
The combining generalized ridge and principal components estimator of regression coefficient in growth curve model;
增长曲线模型中回归系数的广义岭型主成分估计
2.
The linear minimax estimation of regression coefficient in a general Gauss-Markov Model under balanced loss function
平衡损失下一般Gauss-Markov模型中回归系数的线性Minimax估计
3.
The relationship of the correlative coefficients and the regression coefficients is proved, and another new target P2 for the correlation degree among the described variables is put forward in the peper.
本文推导了相关系数与回归系数之间的关系,提出了描述变量之间相关程度的另一个新指
4)  regression coefficients
回归系数
1.
Admissible estimatiors for regression coefficients and parameters in multivariate stochastic effective linear model under restricted conditions;
约束条件下多元随机效应线性模型中回归系数和参数的可容许估计
2.
Applying the principle of least square estimation and numerical solution of nonlinear equation, a new method is used to define regression coefficients in the pure nonlinear regression model that only one parameter appears in the nonlinear form.
针对只有一个参数是以非线性形式出现的纯非线性回归模型,提出一种新方法确定模型中的回归系数。
3.
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。
5)  Partial regression coefficient
偏回归系数
6)  coefficients of ridge regression
岭回归系数
补充资料:回归系数
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性质:表示自变量对因变量影响程度的量度。

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