Multivariate data analysis: The French way
Susan Holmes
Abstract
This 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.
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Primary Subjects: 62H25, 62H20
Keywords: bootstrap; correspondence analysis; duality diagram; RV-coefficient; STATIS
Full-text: Open access
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Permanent link to this document: http://projecteuclid.org/euclid.imsc/1207580085
Digital Object Identifier: doi:10.1214/193940307000000455
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