Minimum covariance determinant and extensions

Volume: 10, Issue: 3
Published: Dec 22, 2017
Abstract
The minimum covariance determinant (MCD) method is a highly robust estimator of multivariate location and scatter, for which a fast algorithm is available. Since estimating the covariance matrix is the cornerstone of many multivariate statistical methods, the MCD is an important building block when developing robust multivariate techniques. It also serves as a convenient and efficient tool for outlier detection. The MCD estimator is reviewed,...
Paper Details
Title
Minimum covariance determinant and extensions
Published Date
Dec 22, 2017
Volume
10
Issue
3
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