On masking and swamping robustness of leading nonparametric outlier identifiers for univariate data
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Publication:2348103
DOI10.1016/j.jspi.2015.02.002zbMath1320.62112OpenAlexW2056787603MaRDI QIDQ2348103
Shan-shan Wang, Robert J. Serfling
Publication date: 10 June 2015
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2015.02.002
Related Items (4)
Depth-based nonparametric description of functional data, with emphasis on use of spatial depth ⋮ General foundations for studying masking and swamping robustness of outlier identifiers ⋮ On masking and swamping robustness of leading nonparametric outlier identifiers for multivariate data ⋮ On general notions of depth for regression
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- Robust diagnostic regression analysis
- General foundations for studying masking and swamping robustness of outlier identifiers
- The forward search: theory and data analysis
- The Identification of Multiple Outliers
- The Masking Breakdown Point of Multivariate Outlier Identification Rules
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