Characterizing Relationships Between Estimations Under a General Linear Model with Explicit and Implicit Restrictions by Rank of Matrix

被引:9
|
作者
Tian, Yongge [1 ]
机构
[1] Cent Univ Finance & Econ, China Econ & Management Acad, Beijing, Peoples R China
关键词
BLUE; Equality of estimations; Implicitly restricted model; Matrix rank method; Moore-Penrose inverse; OLSE; Restricted linear model; LEAST-SQUARES;
D O I
10.1080/03610926.2011.594537
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 the investigation of the restricted linear model M-r = {y, X beta vertical bar A beta = b, sigma(2)Sigma} the parameter constraints A beta = b are often handled by transforming the model into certain implicitly restricted model. Any estimation derived from the explicitly and implicitly restricted models on the vector beta and its functions should be equivalent, although the expressions of the estimation under the two models may be different. However, people more likely want to directly compare different expressions of estimations and yield a conclusion on their equivalence by using some algebraic operations on expressions of estimations. In this article, we give some results on equivalence of the well-known OLSEs and BLUEs under the explicitly and implicitly restricted linear models by using some expansion formulas for ranks of matrices.
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页码:2588 / 2601
页数:14
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