Jan de Leeuw and the French School of Data Analysis

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).

Verfasser: François Husson
Julie Josse
Gilbert Saporta
Dokumenttyp: Artikel
Erscheinungsdatum: 2016
Reihe/Periodikum: Journal of Statistical Software, Vol 73, Iss 1, Pp 1-18 (2016)
Verlag/Hrsg.: Foundation for Open Access Statistics
Schlagwörter: HOMALS / multiple correspondence analysis / missing values / analyse des donn'ees / French and Dutch schools / Statistics / HA1-4737
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26630087
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.18637/jss.v073.i06