Admissibility in Linear Estimation
The Annals of Statistics · 1982 · Volume 10 · Issue 1
Abstract
Necessary and sufficient conditions for a linear estimator to be admissible among linear estimators are described. The model assumed is general, allowing for relations between elements of the mean vector and covariance matrix, and allowing the covariance matrix to vary in an arbitrary subset of nonnegative definite symmetric matrices.
Keywords
62F10, 62J99, General linear model, linear estimation and admissibility
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