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dc.contributor.authorZárraga Castro, María Amaya ORCID
dc.contributor.authorGoitisolo Lezama, Beatriz
dc.date.accessioned2011-12-22T11:19:46Z
dc.date.available2011-12-22T11:19:46Z
dc.date.issued2007-07
dc.identifier.issn1134-8984
dc.identifier.urihttp://hdl.handle.net/10810/5623
dc.description.abstractTo study similarities among the set of rows -and columns- of a contingency table, Correspondence Analysis uses chi-squared distances between row profiles -and column profiles- of that table. This article presents a factor analysis for the study of a set of contingency tables in which, unlike more classical methods such as the analysis of juxtaposition and Intra Analysis; the existing relationships within each table -defined across the chi-squared distances-, are not altered.es
dc.language.isoenges
dc.relation.ispartofseriesBiltoki 2007.04
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/*
dc.subjectcontingency tableses
dc.subjectsimultaneous analysises
dc.subjectcorrespondence analysises
dc.subjectChi-squared distancees
dc.titleReconstructing Chi-squared Intra-table Distances in the Analysis of a Set of Contingency Tableses
dc.typeinfo:eu-repo/semantics/workingPaperes
dc.rights.holderAttribution-NonCommercial-ShareAlike 3.0 Unported*
dc.identifier.repecRePEc:ehu:biltok:200704es
dc.departamentoesEconomía aplicada III (Econometría y Estadística)es_ES
dc.departamentoeuEkonomia aplikatua III (ekonometria eta estatistika)es_ES


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Attribution-NonCommercial-ShareAlike 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported