A matrix approach to a general partitioned linear model with partial parameter restrictions
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Publication:5038137
DOI10.1080/03081087.2020.1804521zbMath1498.15002OpenAlexW3061025009MaRDI QIDQ5038137
Publication date: 29 September 2022
Published in: Linear and Multilinear Algebra (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081087.2020.1804521
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Theory of matrix inversion and generalized inverses (15A09) Random matrices (algebraic aspects) (15B52) Linear equations (linear algebraic aspects) (15A06)
Related Items (3)
Characterizing relationships between BLUPs under linear mixed model and some associated reduced models ⋮ Solutions of the matrix inequality \(AXA\overset{?}{\leq}A\) in some partial orders ⋮ Statistical inference of a partitioned linear random-effects model
Cites Work
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- On connections among OLSEs and BLUEs of whole and partial parameters under a general linear model
- On the equivalence of estimations under a general linear model and its transformed models
- Characterizations of estimability in the general linear model
- Representations of best linear unbiased estimators in the Gauss-Markoff model with a singular dispersion matrix
- Estimation under a general partitioned linear model
- Quadratic properties of least-squares solutions of linear matrix equations with statistical applications
- More on maximal and minimal ranks of Schur complements with applications
- Matrix Tricks for Linear Statistical Models
- Matrix rank/inertia formulas for least-squares solutions with statistical applications
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