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线性回归模型的一个新的随机约束岭估计
引用本文:司童文.线性回归模型的一个新的随机约束岭估计[J].石家庄铁道学院学报,2012(3):107-110.
作者姓名:司童文
作者单位:华盛顿大学艺术与科学学院,美国西稚图98195-3765
摘    要:研究带随机先验信息的线性回归模型,提出一种新的随机约束岭估计,得到新的估计在均方误差矩阵意义下优于混合估计、普通岭估计、随机混合估计(Yalian,2008)和另一随机混合估计(富月,2003)的充要条件。理论结果与数值实验都表明:新的估计在均方误差矩阵意义下的性能是优良的。

关 键 词:岭估计  混合估计  随机约束岭估计  随机混合估计  均方误差矩阵

A New Random Restricted Ridge Estimator in Linear Regression Model
Si Tongwen.A New Random Restricted Ridge Estimator in Linear Regression Model[J].Journal of Shijiazhuang Railway Institute,2012(3):107-110.
Authors:Si Tongwen
Institution:Si Tongwen (College of Arts & Sciences, University of Washington,Seattle, U. S. A 98195-3765)
Abstract:We are concerned with the parameter estimation in linear regression model with random prior in- formation. A new random restricted ridge estimator is introduced and their properties are discussed. The necessa- ry and sufficient conditions that the new estimator is better than the mixed estimator, the ordinary ridge estima- tor, the stochastic mixed estimator (Yalian Li,2008) and the another random mixed estimator (Yue Fu, 2003) in terms of the mean squared error matrix are obtained. The results of theorems and numerical examples show that the performance of the new estimator is perfect in the terms of the mean squared error matrix.
Keywords:ridge estimator  mixed estimator  random restricted ridge estimator  stochastic mixed estimator  mean squared error matrix
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