线性回归模型的一个新的随机约束岭估计
A New Random Restricted Ridge Estimator in Linear Regression Model
投稿时间:2012-05-07  
中文关键词: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
英文关键词:ridge estimator  mixed estimator  random restricted ridge estimator  stochastic mixed estimator  mean squared error matrix
基金项目:
作者单位
司童文 华盛顿大学 艺术与科学学院 
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中文摘要:
      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。
英文摘要:
      We are concerned with the parameter estimation in linear regression model with random prior information. A new random restricted ridge estimator is introduced and their properties are discussed. The necessary and sufficient conditions that the new estimator is better than the mixed estimator, the ordinary ridge estimator, 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.
司童文.线性回归模型的一个新的随机约束岭估计[J].石家庄铁道大学学报:自然科学版,2012,(3):107-110.
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