Adjusting of estimates in general linear model with respect to linear restrictions

DOI10.1016/0167-7152(92)90124-NzbMath0752.62046OpenAlexW2034589512MaRDI QIDQ1200745

Pawel R. Pordzik

Publication date: 16 January 1993

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(92)90124-n

zbMATH Keywords

best linear unbiased estimatorrecursive formulalinear restrictionsgeneral linear modelsingular dispersion matrixestimable parametric functions

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items (1)

Inclusion and exclusion of data or parameters in the general linear model

Cites Work

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• Inverse-partitioned-matrix method for the general Gauss-Markov model with linear restrictions
• On the Analysis of Categorical Variables by Linear Models having Singular Covariance Matrices
• Recursive improvement of estimates in a Gauss-Markov model with linear restrictions
• Some Extensions of a Linear Model for Categorical Variables
• New Criteria for Estimability for Linear Models

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