Efficiency of an almost unbiased two-parameter estimator in linear regression model

被引:24
|
作者
Wu, Jibo [1 ]
Yang, Hu [1 ]
机构
[1] Chongqing Univ, Coll Math & Stat, Chongqing 401331, Peoples R China
关键词
almost unbiased two-parameter estimator; multicollinearity; mean-squared error; two-parameter estimator; 62J05; 62J07; RIDGE-TYPE ESTIMATORS;
D O I
10.1080/02331888.2011.605891
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
This paper deals with parameter estimation in the linear regression model and an almost unbiased two-parameter estimator is introduced. The performance of this new estimator over the ordinary least-squares estimator and the two-parameter estimator [M.R. ozkale and S. Kaciranlar, The restricted and unrestricted two-parameter estimator, Comm. Statist. Theory Methods 36 (2007), pp. 27072725] in terms of scalar mean-squared error criterion is investigated and a simulation study is done.
引用
收藏
页码:535 / 545
页数:11
相关论文
共 50 条