Performance Evaluation Based on the Robust Mahalanobis Distance and Multilevel Modeling Using Two New Strategies

DOI10.1080/03610910802311692zbMath1153.62388OpenAlexW2071630040MaRDI QIDQ3543737

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Publication date: 4 December 2008

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

Full work available at URL: https://doi.org/10.1080/03610910802311692

zbMATH Keywords

performancerobust statisticsMahalanobis distanceMANOVAmultilevel estimationranking indicators

Mathematics Subject Classification ID

Multivariate analysis (62H99) Applications of statistics (62P99) Numerical computation of matrix norms, conditioning, scaling (65F35) Operations research and management science (90B99)

Related Items (1)

Evaluation of outlier detection method performance in symmetric multivariate distributions

Uses Software

• ROBETH

Cites Work

• Robustness properties of \(S\)-estimators of multivariate location and shape in high dimension
• Identification of Outliers in Multivariate Data

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