The fundamental aspects of the admissibility in the quadratic approximation of linear mappings

DOI10.1016/S0024-3795(96)00405-3zbMath0956.62008OpenAlexW2000069390MaRDI QIDQ1369310

Jean-Jacques Téchené

Publication date: 7 January 1998

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

Full work available at URL: https://doi.org/10.1016/s0024-3795(96)00405-3

Mathematics Subject Classification ID

Linear inference, regression (62J99) Foundations and philosophical topics in statistics (62A01) Admissibility in statistical decision theory (62C15)

Cites Work

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• Admissibility in linear estimation
• Invariant quadratic unbiased estimation for two variance components
• A canonical form for the general linear model
• Tensor products and statistics
• Necessary and sufficient conditions that linear estimators of a mixed effects linear model are admissible under matrix loss function
• Linear Spaces and Minimum Variance Unbiased Estimation
• The axiom of choice

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