Rank-Based Classification Using Robust Discriminant Functions
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Publication:3616263
DOI10.1080/03610910802446993zbMath1161.62036OpenAlexW2115581336MaRDI QIDQ3616263
Sai V. Nudurupati, Asheber Abebe
Publication date: 24 March 2009
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610910802446993
tablesminimum covariance determinantmisclassification error ratenonparametric classifierstatistical depth function
Nonparametric robustness (62G35) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
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Cites Work
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- Fast and robust discriminant analysis
- A distribution-free M-estimator of multivariate scatter
- Linear discriminant analysis and transvariation
- General notions of statistical depth function.
- Clustering and classification based on the L\(_{1}\) data depth
- High breakdown estimation for multiple populations with applications to discriminant analysis
- Influence of observations on the misclassification probability in quadratic discriminant analysis
- Least Median of Squares Regression
- A Comparison of Multiple Outlier Detection Methods for Regression Data
- Rank procedures in many population forced discrimination problems
- Generalized Linear and Quadratic Discriminant Functions Using Robust Estimates
- A practical affine equivariant multivariate median
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
- The multivariate L 1 -median and associated data depth
- Robust linear discriminant analysis using S-estimators
- Robustness of the linear and quadratic discriminant function to certain types of non‐normality
- Discriminant procedures based on efficient robust discriminant coordinates
- On Maximum Depth and Related Classifiers