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[HJS16] Jan de Leeuw and the French School of Data Analysis

Revue Internationale avec comité de lecture : Journal Journal of statistical software, vol. 73(6), pp. xx, 2016, (doi: 10.18637/jss.v073.i06)

Mots clés: HOMALS, multiple correspondence analysis, missing values, analyse des données, French and Dutch schools

Résumé: The Dutch and the French schools of data analysis differ in their approaches to the question: How does one understand and summarize the information contained in a data set? The commonalities and discrepancies between the schools are explored here with a focus on methods dedicated to the analysis of categorical data, which are known either as homogeneity analysis (HOMALS) or multiple correspondence analysis (MCA).

BibTeX

@article {
HJS16,
title="{Jan de Leeuw and the French School of Data Analysis}",
author="F. Husson and J. Josse and G. Saporta",
journal="Journal of statistical software",
year=2016,
volume=73,
number=6,
pages="xx",
doi=" 10.18637/jss.v073.i06",
}