Régression et analyse géométrique des données : réflexions et suggestions
Multivariate data are often treated with regression methods on one hand, Geometric Data Analyse methods (PCA, AC…) on the other hand. We intend to show, thanks to the mathematical structures common to the two methods, illustrated by examples, how one can integrate regression methods in geometric ana...
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| Publicado no: | URI:https://journals.openedition.org/msh, |
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| Auteurs principaux: | , , , , |
| Formato: | Article ou chapitre numérique |
| Idioma: | Français |
| Publicado em: |
Mathématiques et sciences humaines
2006
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| Assuntos: | |
| Acesso em linha: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Resumo: | Multivariate data are often treated with regression methods on one hand, Geometric Data Analyse methods (PCA, AC…) on the other hand. We intend to show, thanks to the mathematical structures common to the two methods, illustrated by examples, how one can integrate regression methods in geometric analysis. Geometric analysis allows a visualization of structural effects. There is no ground to oppose “explanatory” and “descriptive” statistical methods. |
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