General foundations for studying masking and swamping robustness of outlier identifiers

DOI10.1016/j.stamet.2013.08.004zbMath1486.62143OpenAlexW2026211425MaRDI QIDQ1731216

Robert J. Serfling, Shan-shan Wang

Publication date: 13 March 2019

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2013.08.004

zbMATH Keywords

nonparametricoutlier detectionmasking robustnessswamping robustness

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric robustness (62G35) Statistics of extreme values; tail inference (62G32)

Related Items (4)

Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data ⋮ On masking and swamping robustness of leading nonparametric outlier identifiers for multivariate data ⋮ On general notions of depth for regression ⋮ On masking and swamping robustness of leading nonparametric outlier identifiers for univariate data

Cites Work

• Unnamed Item
• Nonparametric depth-based multivariate outlier identifiers, and masking robustness properties
• On masking and swamping robustness of leading nonparametric outlier identifiers for univariate data
• Equivariance and invariance properties of multivariate quantile and related functions, and the role of standardisation
• The Identification of Multiple Outliers
• The Masking Breakdown Point of Multivariate Outlier Identification Rules

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