Estimators for the common principal components model based on reweighting: Influence functions and Monte Carlo study
The common principal components model for several groups of multivariate observations is a useful parsimonious model for the scatter structure which assumes equal principal axes but different variances along those axes for each group. Due to the lack of resistance of the classical maximum likelihood...
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| Autores principales: | Boente, G., Pires, A.M., Rodrigues, I.M. |
|---|---|
| Formato: | JOUR |
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00261335_v67_n2_p189_Boente |
| Aporte de: |
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