Admissible estimators of a multivariate normal mean vector when the scale is unknown

Maruyama, Y; Strawderman, W E

doi:10.1093/biomet/asaa102

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Admissible estimators of a multivariate normal mean vector when the scale is unknown

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Summary

We study admissibility of a subclass of generalized Bayes estimators of a multivariate normal vector in the case where the variance is unknown, under scaled quadratic loss. Minimaxity is established for some of these estimators.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

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Admissible estimators of a multivariate normal mean vector when the scale is unknown

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Admissible estimators of a multivariate normal mean vector when the scale is unknown

Summary

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