dc.contributor.author | Zárraga Castro, María Amaya | |
dc.contributor.author | Goitisolo Lezama, Beatriz | |
dc.date.accessioned | 2011-12-22T11:19:46Z | |
dc.date.available | 2011-12-22T11:19:46Z | |
dc.date.issued | 2007-07 | |
dc.identifier.issn | 1134-8984 | |
dc.identifier.uri | http://hdl.handle.net/10810/5623 | |
dc.description.abstract | To 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.iso | eng | es |
dc.relation.ispartofseries | Biltoki 2007.04 | |
dc.rights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | * |
dc.subject | contingency tables | es |
dc.subject | simultaneous analysis | es |
dc.subject | correspondence analysis | es |
dc.subject | Chi-squared distance | es |
dc.title | Reconstructing Chi-squared Intra-table Distances in the Analysis of a Set of Contingency Tables | es |
dc.type | info:eu-repo/semantics/workingPaper | es |
dc.rights.holder | Attribution-NonCommercial-ShareAlike 3.0 Unported | * |
dc.identifier.repec | RePEc:ehu:biltok:200704 | es |
dc.departamentoes | Economía aplicada III (Econometría y Estadística) | es_ES |
dc.departamentoeu | Ekonomia aplikatua III (ekonometria eta estatistika) | es_ES |