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Estimating the covariance matrix and the generalized variance under a symmetric loss
Authors:Tatsuya Kubokawa  Yoshihiko Konno
Institution:(1) Institute of Mathematics, University of Tsukuba, 305 Tsukuba, Ibaraki, Japan;(2) Present address: Department of Mathematical Engineering and Information Physics, Faculty of Engineering, University of Tokyo, Bunkyo-ku, 113 Tokyo, Japan
Abstract:For estimating the power of a generalized variance under a multivariate normal distribution with unknown means, the inadmissibility of the best affine equivariant estimator relative to the symmetric loss is shown, and a class of improved estimators is given. The problem of estimating the covariance matrix is also discussed.
Keywords:Covariance matrix  generalized variance  Wishart distribution  affine equivariant estimators  Stein's truncated estimator  inadmissibility
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