Robust discrimination under a hierarchy on the scatter matrices
DOI10.1016/j.jmva.2007.08.008zbMath1141.62051OpenAlexW2018467495MaRDI QIDQ928868
Graciela Boente, Isabel M. Rodrigues, Ana M. Pires, Ana M. Bianco
Publication date: 11 June 2008
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2007.08.008
outliersrobust estimationcommon principal componentspartial influence functionsplug-in methodsproportional scatter matricesquadratic discrimination
Factor analysis and principal components; correspondence analysis (62H25) Asymptotic distribution theory in statistics (62E20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Robustness and adaptive procedures (parametric inference) (62F35) Monte Carlo methods (65C05)
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- On the relation between S-estimators and M-estimators of multivariate location and covariance
- Robust discrimination under a hierarchy on the scatter matrices
- Robust tests for the common principal components model
- Quadratic discriminant functions with constraints on the covariance matrices: Some asymptotic results
- Error rates in quadratic discrimination with constraints on the covariance matrices
- Robust plug-in estimators in proportional scatter models.
- Partial influence functions
- The influence function of the Stahel--Donoho estimator of multivariate location and scatter.
- General projection-pursuit estimators for the common principal components model: influence functions and Monte Carlo study
- Influence of observations on the misclassification probability in quadratic discriminant analysis
- Influence functions of two families of robust estimators under proportional scatter matrices
- The influence of observations on misclassification probability estimates in linear discriminant analysis
- The Influence Function as an Aid in Outlier Detection in Discriminant Analysis
- Radial estimates and the test for sphericity
- Error rates of non-Bayes classification rules and the robustness of Fisher's linear discriminant function
- The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
- Note on Initial Misclassification Effects on the Quadratic Discriminant Function
- Diagnosing Influential Observations in Quadratic Discriminant Analysis
- Influence functions and outlier detection under the common principal components model: A robust approach
- Principal component analysis based on robust estimators of the covariance or correlation matrix: influence functions and efficiencies
- Robust linear discriminant analysis using S-estimators
- Diagnostics in Linear Discriminant Analysis
- Robust Statistics
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