Some equalities for estimations of partial coefficients under a general linear regression model

doi:10.1007/s00362-009-0298-5

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	Some equalities for estimations of partial coefficients under a general linear regression model
	Tian, Yongge 1; Zhang, Jieping 2
刊名	STATISTICAL PAPERS
	2011-11
卷号	52 期号:4 页码:911-920
关键词	Partitioned linear model Partial parameters OLSE BLUE Equalities for estimations Moore-Penrose inverses of matrices Matrix rank method
ISSN号	0932-5026
DOI	10.1007/s00362-009-0298-5
英文摘要	Estimations of partial coefficients in a general regression models involve some complicated operations of matrices and their generalized inverses. In this note, we use the matrix rank method to derive necessary and sufficient conditions for the ordinary least-squares estimator and the best linear unbiased estimator of partial coefficients in a general linear regression model to equal.
WOS研究方向	Mathematics
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000295737600011
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/2232]
专题	上海财经大学
通讯作者	Tian, Yongge
作者单位	1.Cent Univ Finance & Econ, China Econ & Management Acad, Beijing 100081, Peoples R China; 2.Shanghai Univ Finance & Econ, Sch Econ, Shanghai 200433, Peoples R China
推荐引用方式 GB/T 7714	Tian, Yongge,Zhang, Jieping. Some equalities for estimations of partial coefficients under a general linear regression model[J]. STATISTICAL PAPERS,2011,52(4):911-920.
APA	Tian, Yongge,&Zhang, Jieping.(2011).Some equalities for estimations of partial coefficients under a general linear regression model.STATISTICAL PAPERS,52(4),911-920.
MLA	Tian, Yongge,et al."Some equalities for estimations of partial coefficients under a general linear regression model".STATISTICAL PAPERS 52.4(2011):911-920.