On the extension of Gauss-Markov theorem to complex multivariate linear models

DOI10.1007/BF02911695zbMath0178.21902OpenAlexW2035987325MaRDI QIDQ2533122

Jagdish N. Srivastava

Publication date: 1967

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

Full work available at URL: https://doi.org/10.1007/bf02911695

zbMATH Keywords

statistics

Related Items (7)

Type a incomplete multi-response designs ⋮ Seemingly unrelated reduced-rank regression model ⋮ On the hierarchical two-response (cyclic PBIB) designs, costwise optimal under the trace criterion ⋮ Unnamed Item ⋮ On the extensions of Gauss-Markov theorem to subsets of the parameter space under complex multivariate linear models ⋮ On the costwise optimality of hierarchical multiresponse randomized block designs under the trace criterion ⋮ Hadamard products and multivariate statistical analysis

Cites Work

• A multivariate extension of the Gauss-Markov theorem
• The influence of a compressive stress on the nonlinear response of ferroelectric crystals
• The Relationship Algebra of an Experimental Design
• Multivariate Analysis of Variance (MANOVA)
• Maximum Likelihood Estimation with Incomplete Multivariate Data
• The Relationship Algebra and the Analysis of Variance of a Partially Balanced Incomplete Block Design
• Estimation of Parameters from Incomplete Data
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