On comparison of dispersion matrices of estimators under a constrained linear model
Yongge Tian () and
Wenxing Guo ()
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Wenxing Guo: Central University of Finance and Economics
Statistical Methods & Applications, 2016, vol. 25, issue 4, No 6, 623-649
Abstract:
Abstract We introduce some new mathematical tools in the analysis of dispersion matrices of the two well-known OLSEs and BLUEs under general linear models with parameter restrictions. We first establish some formulas for calculating the ranks and inertias of the differences of OLSEs’ and BLUEs’ dispersion matrices of parametric functions under the general linear model $${\mathscr {M}}= \{\mathbf{y}, \ \mathbf{X }\pmb {\beta }, \ \pmb {\Sigma }\}$$ M = { y , X β , Σ } and the constrained model $${\mathscr {M}}_r = \{\mathbf{y}, \, \mathbf{X }\pmb {\beta }\, | \, \mathbf{A }\pmb {\beta }= \mathbf{b}, \ \pmb {\Sigma }\}$$ M r = { y , X β | A β = b , Σ } , where $$\mathbf{A }\pmb {\beta }= \mathbf{b}$$ A β = b is a consistent linear matrix equation for the unknown parameter vector $$\pmb {\beta }$$ β to satisfy. As applications, we derive necessary and sufficient conditions for many equalities and inequalities of OLSEs’ and BLUEs’ dispersion matrices to hold under $${\mathscr {M}}$$ M and $${\mathscr {M}}_r$$ M r .
Keywords: Constrained linear model; OLSE; BLUE; Dispersion matrix; Rank; Inertia; Equality; Inequality; 15A09; 62J05; 62H12 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)
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DOI: 10.1007/s10260-016-0350-2
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