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Volumn 67, Issue 2, 1998, Pages 297-305

A Generalization of Rao's Covariance Structure with Applications to Several Linear Models

Author keywords

Gauss Markov estimator; ordinary least squares estimator; Rao's covariance structure; seemingly unrelated regression model; general multivariate analysis of variance model

Indexed keywords


EID: 0038900146     PISSN: 0047259X     EISSN: None     Source Type: Journal    
DOI: 10.1006/jmva.1998.1771     Document Type: Article
Times cited : (6)

References (15)
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  • 9
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    • Rao, C.R.1
  • 11
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    • Some finite sample results in the context of two seemingly unrelated regression equations
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    • On canonical forms, nonnegative covariance matrices, and best and simple least squares estimators in linear models
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    • Parametric augmentations and error structures under which certain least squares and analysis of variance procedure are also best
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.