[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).