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.
Information
Published: 1 January 2008
First available in Project Euclid: 7 April 2008
zbMATH: 1166.62310
MathSciNet: MR2459953
Digital Object Identifier: 10.1214/193940307000000455
Subjects:
Primary:
62H20
,
62H25
Keywords:
bootstrap
,
correspondence analysis
,
duality diagram
,
RV-coefficient
,
STATIS
Rights: Copyright © 2008, Institute of Mathematical Statistics