Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/149281
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dc.contributor.authorCuadras, C. M. (Carlos María)-
dc.contributor.authorCuadras, Daniel-
dc.date.accessioned2020-02-03T14:38:33Z-
dc.date.available2020-02-03T14:38:33Z-
dc.date.issued2015-04-28-
dc.identifier.issn2161-718X-
dc.identifier.urihttp://hdl.handle.net/2445/149281-
dc.description.abstractWe 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.extent10 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherScientific Research Publishing-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.4236/ojs.2015.53024-
dc.relation.ispartofOpen Journal of Statistics, 2015, vol. 5, num. 3, p. 223-232-
dc.relation.urihttps://doi.org/10.4236/ojs.2015.53024-
dc.rightscc-by (c) Cuadras, C. M. (Carlos María) et al., 2015-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es-
dc.sourceArticles publicats en revistes (Matemàtiques i Informàtica)-
dc.subject.classificationAnàlisi multivariable-
dc.subject.classificationAnàlisi de correspondències (Estadística)-
dc.subject.otherMultivariate analysis-
dc.subject.otherCorrespondence analysis (Statistics)-
dc.titleA unified approach for the multivariate analysis of contingency tables-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec652103-
dc.date.updated2020-02-03T14:38:33Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

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