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).
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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
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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-28989442 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.18637/jss.v073.i06 |