Improvement of the Liu Estimator in Weighted Mixed Regression

被引:23
|
作者
Yang, Hu [1 ]
Chang, Xinfeng [1 ]
Liu, Deqiang [1 ]
机构
[1] Chongqing Univ, Coll Math & Phys, Chongqing 400030, Peoples R China
关键词
Liu estimator; Mean squared error matrix; Weighted mixed estimator; Weighted mixed Liu estimator; MEAN-SQUARE ERROR; LINEAR-REGRESSION; RIDGE-REGRESSION;
D O I
10.1080/03610920802192513
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, we consider the estimation for the vector of parameters in a linear regression model by unifying the sample and the prior information. A new Liu-type biased estimator called weighted mixed Liu estimator is proposed. Furthermore, necessary and sufficient conditions for the superiority of the weighted mixed Liu estimator over the Liu estimator and the weighted mixed estimator proposed by Schaffrin and Toutenburg (1990) in the mean squared error matrix sense are derived. Finally, a numerical example and a Monte Carlo simulation study are given to illustrate some of the theoretical results.
引用
收藏
页码:285 / 292
页数:8
相关论文
共 50 条