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

Metadatos

Licencia de uso del documento

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]

Idioma

Communication dans un congrès

Este ítem está publicado en

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. -

Resumen en inglés

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.< Leer menos

Palabras clave en inglés

Factor Analysis

Rotation

Pollution data

Orígen

Importado de Hal

Centros de investigación

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251