A matrix approach to a general partitioned linear model with partial parameter restrictions
Ma, Rong1; Tian, Yongge2
2020-08
发表期刊LINEAR & MULTILINEAR ALGEBRA
卷号70期号:13页码:2513-2532
摘要This article considers some fundamental estimation problems on a general partitioned linear model with partial parameter restrictions. We shall derive analytical formulas for calculating the ordinary least-squares estimators (OLSEs) and the best linear unbiased estimators (BLUEs) of the whole and partial parameter vectors in the model and its reduced models, and establish identifying conditions for the equivalence of the OLSEs and BLUEs under among these models.
关键词Partitioned linear model reduced model estimability OLSE BLUE generalized inverse rank formula
DOI10.1080/03081087.2020.1804521
收录类别SCOPUS ; SCIE
ISSN0308-1087
语种英语
WOS研究方向Mathematics
WOS类目Mathematics
WOS记录号WOS:000559861000001
出版者TAYLOR & FRANCIS LTD
原始文献类型Article ; Early Access
EISSN1563-5139
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/30190
专题统计与数据科学学院
作者单位1.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Peoples R China;
2.Shanghai Business Sch, Coll Business & Econ, Shanghai, Peoples R China
第一作者单位兰州财经大学
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Ma, Rong,Tian, Yongge. A matrix approach to a general partitioned linear model with partial parameter restrictions[J]. LINEAR & MULTILINEAR ALGEBRA,2020,70(13):2513-2532.
APA Ma, Rong,&Tian, Yongge.(2020).A matrix approach to a general partitioned linear model with partial parameter restrictions.LINEAR & MULTILINEAR ALGEBRA,70(13),2513-2532.
MLA Ma, Rong,et al."A matrix approach to a general partitioned linear model with partial parameter restrictions".LINEAR & MULTILINEAR ALGEBRA 70.13(2020):2513-2532.
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