CHAVENT, Marie; GUEGAN, Hervé; KUENTZ, Vanessa; PATOUILLE, Brigitte; SARACCO, Jérôme

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Licence d’utilisation du document

CHAVENT, Marie
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]

GUEGAN, Hervé
Centre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
Centre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]

KUENTZ, Vanessa
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]

Langue

Communication dans un congrès

Ce document a été publié dans

Proceedings of the XIIth International Symposium of Applied Stochastic Models and Data Analysis, Proceedings of the XIIth International Symposium of Applied Stochastic Models and Data Analysis, ASMDA 2007, 2007-05-29, Chania, Crète. 2007-05p. -

Résumé en anglais

Air pollution is a widely preoccupation which needs the development of control strategies. To reach this goal, pollution sources have to be precisely identified. Principal component analysis is a possible response to this problem. Indeed this factorial method enables to detect sources, that is to have a qualitative description of them. In this work, techniques of rotation are a useful help for the association of variables with factors. We highlight the fact that the rotation must be applied to the standardized principal components, so as to keep good interpretation properties. This methodology has then been applied to a problem of air pollution on a french site.< Réduire

Mots clés en anglais

Factor Analysis

Rotation

Pollution data

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251