Research on improvement of generalized ridge estimation in multicollinearity condition 复共线性条件下广义岭估计的改进
Multicollinearity problems and their treatment in statistical studies of land use change 论土地利用变化统计分析中的多重共线性问题
It is also found that the potential multicollinearity problem of using the proxy work experience variable is non - negligible 本文亦发现设算工作经验变数可能产生的线性重合问题所造成的影响是不容忽视的。
Thus proposes an alternative method for the research of superiority of two predictors based on the biased estimation . in the light of the approximate multicollinearity of matrix , distance for principal components estimation ( namely distance ) is put forward 针对设计矩阵的多重共线性问题,为了改进基于最小二乘估计的统计诊断量cook距离,提出了基于massy主成分下的cook距离( mpcc距离) 。
The main results are as follows : according to the approximate multicollinearity of matrix , the third chapter constrains the regression coefficient and obtains generalized ridge estimation of the linear model ' s parameter under the ellipsoidal restriction 主要结果如下:论文第三章从设计矩阵的多重共线性角度出发,考虑回归系数的椭球约束,获得了椭球约束下线性模型参数的一种新型估计- -广义岭型估计。
Multicollinearity is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, meaning that one can be linearly predicted from the others with a non-trivial degree of accuracy. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data.