Estimation and experiments comparison with respect to the matrix risk

DOI10.1016/S0024-3795(01)00375-5zbMath1009.62044MaRDI QIDQ1855357

Augustyn Markiewicz

Publication date: 5 February 2003

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

zbMATH Keywords

multivariate linear modelcomparison of experimentsLöwner orderingadmissible linear estimationmatrix risk

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Theory of statistical experiments (62B15) Miscellaneous inequalities involving matrices (15A45)

Related Items (3)

Characterization of admissible linear estimators in the general growth curve model with respect to an incomplete ellipsoidal restriction ⋮ Admissible estimators in the general multivariate linear model with respect to inequality restricted parameter set ⋮ Characterization of Admissible Linear Estimators in Multivariate Linear Model with Respect to Inequality Constraints under Matrix Loss Function

Cites Work

• A matrix inequality and admissibility of linear estimators with respect to the mean square error matrix criterion
• A study of the influence of the natural restrictions on estimation problems in the singular Gauss-Markov model
• Matrix loss in comparison of linear experiments
• On Admissibility of Linear Estimators with Respect to the Mean Square Error Matrix Criterion Under the General Mixed Linear Model
• Unnamed Item

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