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Pollution sources detection via principal component analysis and rotation

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorGUEGAN, Hervé
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorKUENTZ, Vanessa
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPATOUILLE, Brigitte
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorSARACCO, Jérôme
dc.date.issued2007-05
dc.date.conference2007-05-29
dc.description.abstractEnAir 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.
dc.language.isoen
dc.source.titleProceedings of the XIIth International Symposium of Applied Stochastic Models and Data Analysis
dc.subject.enFactor Analysis
dc.subject.enRotation
dc.subject.enPollution data
dc.title.enPollution sources detection via principal component analysis and rotation
dc.typeCommunication dans un congrès
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halStatistiques [stat]/Méthodologie [stat.ME]
bordeaux.page-
bordeaux.conference.titleASMDA 2007
bordeaux.countryGR
bordeaux.title.proceedingProceedings of the XIIth International Symposium of Applied Stochastic Models and Data Analysis
bordeaux.conference.cityChania, Crète
bordeaux.peerReviewedoui
hal.identifierhal-00278289
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2007-06-01
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00278289v1
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