Orthogonally invariant estimation of the skew-symmetric normal mean matrix
type: Item
instance of: scholarly article
title: Orthogonally invariant estimation of the skew-symmetric normal mean matrix
zbMATH Open document ID: 0799.62062
DOI: 10.1007/BF00774784
author: Satoshi Kuriki
published in: Annals of the Institute of Statistical Mathematics
publication date: 1994-11-17T00:00:00Z
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62A01
Mathematics Subject Classification ID: 62C20
zbMATH DE Number: 646720
zbMATH Keywords: isotonic regression
zbMATH Keywords: singular value
zbMATH Keywords: unbiased estimator of risk
zbMATH Keywords: orthogonally invariant estimator
zbMATH Keywords: skew-symmetric normal mean matrix
zbMATH Keywords: minimax estimators
zbMATH Keywords: order-preserving modification
zbMATH Keywords: paired comparisons
zbMATH Keywords: Monte Carlo study
MaRDI profile type: Publication
cites work: Q3994362
cites work: A Test for Reality of a Covariance Matrix in a Certain Complex Gaussian Distribution
cites work: Q4039968
cites work: An Analysis of Variance for Paired Comparisons
cites work: Inadmissibility of non-order-preserving orthogonally invariant estimators of the covariance matrix in the case of Stein's loss
cites work: Estimation of the mean of a multivariate normal distribution
full work available at URL: https://doi.org/10.1007/bf00774784
OpenAlex ID: W2051714134
description: scientific article; zbMATH DE number 646720