dc.contributor.author
Cuadras, C. M. (Carlos María)
dc.contributor.author
Cuadras, Daniel
dc.date.issued
2020-02-03T14:38:33Z
dc.date.issued
2020-02-03T14:38:33Z
dc.date.issued
2015-04-28
dc.date.issued
2020-02-03T14:38:33Z
dc.identifier
https://hdl.handle.net/2445/149281
dc.description.abstract
We present a unified approach to describing and linking several methods for representing categorical data in a contingency table. These methods include: correspondence analysis, Hellinger distance analysis, the log-ratio alternative, which is appropriate for compositional data, and the non-symmetrical correspondence analysis. We also present two solutions working with ummulative frequencies.
dc.format
application/pdf
dc.publisher
Scientific Research Publishing
dc.relation
Reproducció del document publicat a: https://doi.org/10.4236/ojs.2015.53024
dc.relation
Open Journal of Statistics, 2015, vol. 5, num. 3, p. 223-232
dc.relation
https://doi.org/10.4236/ojs.2015.53024
dc.rights
cc-by (c) Cuadras, C. M. (Carlos María) et al., 2015
dc.rights
http://creativecommons.org/licenses/by/3.0/es
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Matemàtiques i Informàtica)
dc.subject
Anàlisi multivariable
dc.subject
Anàlisi de correspondències (Estadística)
dc.subject
Multivariate analysis
dc.subject
Correspondence analysis (Statistics)
dc.title
A unified approach for the multivariate analysis of contingency tables
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
