An easy way to increase the finite-sample efficiency of the resampled minimum volume ellipsoid estimator
type: Item
instance of: scholarly article
title: An easy way to increase the finite-sample efficiency of the resampled minimum volume ellipsoid estimator
zbMATH Open document ID: 0900.62278
DOI: 10.1016/S0167-9473(96)00088-6
author: Christophe Croux
author: G. Haesbroeck
published in: Computational Statistics and Data Analysis
publication date: 1998-07-22T00:00:00Z
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62F35
Mathematics Subject Classification ID: 65C99
zbMATH DE Number: 1177856
zbMATH Keywords: Breakdown point
zbMATH Keywords: Finite-sample efficiency
zbMATH Keywords: Location estimation
zbMATH Keywords: Scatter matrix
zbMATH Keywords: Minimum volume ellipsoid
zbMATH Keywords: Robustness
describes a project that uses: AS 282
MaRDI profile type: Publication
cites work: Goodness-of-fit analysis for multivariate normality based on generalized quantiles.
cites work: A class of high-breakdown scale estimators based on subranges
cites work: Positive-breakdown regression by minimizing nested scale estimators
cites work: Asymptotic behaviour of S-estimates of multivariate location parameters and dispersion matrices
cites work: The asymptotics of Rousseeuw's minimum volume ellipsoid estimator
cites work: Generalized quantile processes
cites work: Q3723487
cites work: The feasible solution algorithm for the minimum covariance determinant estimator in multivariate data
cites work: Multivariate τ-Estimators for Location and Scatter
cites work: Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
cites work: The Behavior of the Stahel-Donoho Robust Multivariate Estimator
cites work: Bias-robust estimators of multivariate scatter based on projections
cites work: Q3749928
cites work: Q3976437
cites work: Q4692741
cites work: A distribution-free M-estimator of multivariate scatter
cites work: Computable Robust Estimation of Multivariate Location and Shape in High Dimension Using Compound Estimators
full work available at URL: s0167-9473(96)00088-6
OpenAlex ID: W1993861042
description: scientific article; zbMATH DE number 1177856