Some equalities for estimations of partial coefficients under a general linear regression model
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Publication:657071
DOI10.1007/s00362-009-0298-5zbMath1229.62075OpenAlexW2097159152MaRDI QIDQ657071
Publication date: 13 January 2012
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-009-0298-5
BLUEOLSEpartitioned linear modelmatrix rank methodMoore-Penrose inverses of matricespartial parameters
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Theory of matrix inversion and generalized inverses (15A09)
Related Items (10)
Some equalities and inequalities for covariance matrices of estimators under linear model ⋮ On connections among OLSEs and BLUEs of whole and partial parameters under a general linear model ⋮ On the equality of estimators under a general partitioned linear model with parameter restrictions ⋮ On equivalence of predictors/estimators under a multivariate general linear model with augmentation ⋮ Characterizing relationships between BLUPs under linear mixed model and some associated reduced models ⋮ Equalities for estimators of partial parameters under linear model with restrictions ⋮ Matrix rank and inertia formulas in the analysis of general linear models ⋮ On the BLUEs in Two Linear Models via C. R. Rao's Pandora's Box ⋮ The equalities of estimations under a general partitioned linear model and its stochastically restricted model ⋮ Some remarks on general linear model with new regressors
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- THREE RANK FORMULAS ASSOCIATED WITH THE COVARIANCE MATRICES OF THE BLUE AND THE OLSE IN THE GENERAL LINEAR MODEL
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