Evaluation of outlier detection method performance in symmetric multivariate distributions

DOI10.1080/03610918.2018.1487068OpenAlexW2889981121MaRDI QIDQ5087955

Ilker Ercan, Ender Uzabaci, Özlem Alpu

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1487068

zbMATH Keywords

robust statisticsoutlierMahalanobis distancemultivariate data

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Multivariate analysis and fuzziness (62H86)

Uses Software

• R
• Mata
• mvBACON
• bacon

Cites Work

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• BACON: blocked adaptive computationally efficient outlier nominators.
• A new measure of overall potential influence in linear regression
• Outlier detection for multivariate skew-normal data: a comparative study
• Finding an Unknown Number of Multivariate Outliers
• Rejection of Outliers
• Performance Evaluation Based on the Robust Mahalanobis Distance and Multilevel Modeling Using Two New Strategies
• Outlier..........s
• The Masking Breakdown Point of Multivariate Outlier Identification Rules