Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data

Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data

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Bibliographische Detailangaben
Veröffentlicht in:Journal of applied statistics. - 1991. - 50(2023), 13 vom: 24., Seite 2817-2835
1. Verfasser: Zahariah, Siti (VerfasserIn)
Weitere Verfasser: Midi, Habshah
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Journal of applied statistics
Schlagworte:Journal Article Minimum regularized covariance determinant high dimensional data high leverage point principal component analysis robust mahalanobis distance
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