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广义岭型压缩主分量估计及其优良性
引用本文:邓兆熬,郭大伟.广义岭型压缩主分量估计及其优良性[J].安庆师范学院学报(自然科学版),2011,17(4):35-37.
作者姓名:邓兆熬  郭大伟
作者单位:安徽师范大学数学计算机科学学院,安徽芜湖,241000;安徽师范大学数学计算机科学学院,安徽芜湖,241000
基金项目:安徽省高校省级自然科学研究重点项目(2007A012);安徽省教育厅基金(2007jyxm195)资助
摘    要:对线性回归模型回归系数β,当设计阵X为病态时,提出一种新估计:广义岭型压缩主分量估计,它在MSE和GMSE准则下优于最小二乘估计,在均方误差准则下优于岭型压缩主成分估计,最后对它的可容许性进行了讨论。

关 键 词:广义岭型压缩主分量估计  最小二乘估计  岭型压缩主成分估计  可容许性

Generalized Ridge-Type Shrunken Principal Components Estimator and Its Optimality
DENG Zhao-ao,GUO Da-wei.Generalized Ridge-Type Shrunken Principal Components Estimator and Its Optimality[J].Journal of Anqing Teachers College(Natural Science Edition),2011,17(4):35-37.
Authors:DENG Zhao-ao  GUO Da-wei
Institution:(College of Mathematics and Computer Science,Anhui Normal University,Wuhu 241000,China)
Abstract:A new,generalized ridge-type shrunken principal components estimator,is proposed for the regression coefficients of a linear regression model when the design matrix X is ill-conditioned.The result shows that it is better than LSE under MSE and GMSE criterion and better than ridge-type shrunken principal components estimator under MSE criterion.Finally,its admissibility is discussed.
Keywords:generalized ridge-type shrunken principal components estimator  least squares estimator  ridge-type shrunken principal components estimator  admissibility
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