Two New Relative Efficiencies of the Weighted Mixed Estimator with Respect to the Ordinary Least Squares Estimator in Linear Regression Models

被引：0

作者：

Min LI ^{[1
]}

Jibo WU ^{[1
,2
]}

机构：

[1] School of Mathematics and Finances,Chongqing University of Arts and Sciences

[2] Key Laboratory of Group & Graph Theories and Applications,Chongqing University of Arts and Sciences

来源：

Journal of Mathematical Research with Applications | 2016年 / 36卷 / 01期

基金：

中国国家自然科学基金;

关键词：

ordinary least squares estimator; weighted mixed estimator; relative efficiency; linear regression models;

D O I：

暂无

中图分类号：

O212.1 [一般数理统计];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, we present two relative efficiency of the weighted mixed estimator in respect of least squares estimator. We also derive the lower and upper bounds of those relative efficiencies.

引用

页码：109 / 116

页数：8

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