Influence functions and outlier detection under the common principal components model: A robust approach
The common principal components model for several groups of multivariate observations assumes equal principal axes but different variances along these axes among the groups. Influence functions for plug-in and projection-pursuit estimates under a common principal component model are obtained. Asympt...
Autores principales: | Boente, G., Pires, A.M., Rodrigues, I.M. |
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Formato: | JOUR |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00063444_v89_n4_p861_Boente |
Aporte de: |
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