Multivariate data analysis: The French way

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dc.creatorHolmes, Susan
dc.date2008-05-19
dc.date.accessioned2026-07-07T12:19:03Z
dc.date.available2026-07-07T12:19:03Z
dc.descriptionThis paper presents exploratory techniques for multivariate data, many of them well known to French statisticians and ecologists, but few well understood in North American culture. We present the general framework of duality diagrams which encompasses discriminant analysis, correspondence analysis and principal components, and we show how this framework can be generalized to the regression of graphs on covariates.
dc.descriptionPublished in at http://dx.doi.org/10.1214/193940307000000455 the IMS Collections (http://www.imstat.org/publications/imscollections.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0805.2879
dc.identifierhttp://arxiv.org/abs/0805.2879
dc.identifierIMS Collections 2008, Vol. 2, 219-233
dc.identifierdoi:10.1214/193940307000000455
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212621
dc.subjectMethodology
dc.subject62H25, 62H20 (Primary)
dc.titleMultivariate data analysis: The French way
dc.typetext

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