On the extensions of Gauss-Markov theorem to subsets of the parameter space under complex multivariate linear models

DOI10.1007/BF02479384zbMath0346.62047OpenAlexW2049046817MaRDI QIDQ1233704

Lyman L. McDonald, Jagdish N. Srivastava

Publication date: 1973

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02479384

Mathematics Subject Classification ID

Multivariate analysis (62H99) Linear regression; mixed models (62J05)

Related Items (1)

Type a incomplete multi-response designs

Cites Work

• On the extension of Gauss-Markov theorem to complex multivariate linear models
• Maximum Likelihood Estimation with Incomplete Multivariate Data
• The Relationship Algebra and the Analysis of Variance of a Partially Balanced Incomplete Block Design
• On a General Class of Designs for Multiresponse Experiments

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