Article
Keywords:
sufficient condition for admissibility; natural parameter space; general linear model; biased estimation
Summary:
It was recently shown that all estimators which are locally best in the relative interior of the parameter set, together with their limits constitute a complete class in linear estimation, both unbiased and biased. However, not all these limits are admissible. A sufficient condition for admissibility of a limit was given by the author (1986) for the case of unbiased estimation in a linear model with the natural parameter space. This paper extends this result to the general linear model and to biased estimation.
References:
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Admissible linear estimators in a linear model with the natural parameter space. Bull. Informatics and Cybernetics. 22 (1986), 71 - 77.
DOI 10.5109/13378 |
MR 0853590
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DOI 10.1007/BF02491490 |
MR 0930530