A new stochastic mixed ridge estimator in linear regression model

被引：0

作者：

Yalian Li

Hu Yang

机构：

[1] Chongqing University,Department of Statistics and Actuarial Science

来源：

Statistical Papers | 2010年 / 51卷

关键词：

Ordinary ridge estimator; Ordinary mixed estimator; Stochastic mixed ridge estimator; Mean squared error matrix; 62J05; 62F30;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper is concerned with the parameter estimation in linear regression model with additional stochastic linear restrictions. To overcome the multicollinearity problem, a new stochastic mixed ridge estimator is proposed and its efficiency is discussed. Necessary and sufficient conditions for the superiority of the stochastic mixed ridge estimator over the ridge estimator and the mixed estimator in the mean squared error matrix sense are derived for the two cases in which the parametric restrictions are correct and are not correct. Finally, a numerical example is also given to show the theoretical results.

引用

页码：315 / 323

页数：8

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