A note on the inverse-partitioned-matrix method in linear regression analysis

DOI10.1016/0024-3795(85)90201-0zbMath0605.62072OpenAlexW2044493901MaRDI QIDQ1083809

Hilmar Drygas

Publication date: 1985

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0024-3795(85)90201-0

zbMATH Keywords

generalized inverseinverse-partitioned-matrix methodprediction problem for linear models

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (2)

Statistical analysis of a linear regression model with restrictions and superfluous variables ⋮ Inverse-partitioned-matrix method for the general Gauss-Markov model with linear restrictions

Cites Work

• Simple least squares estimation versus best linear unbiased prediction
• Estimation and prediction for linear models in general spaces
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