Analysis of matched matrices

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Greenacre, Michaelca
• dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
• dc.date.accessioned 2017-07-26T10:51:19Z
• dc.date.available 2017-07-26T10:51:19Z
• dc.date.issued 2001-03-01
• dc.date.modified 2017-07-23T02:06:03Z
• dc.description.abstract We consider the joint visualization of two matrices which have common rows and columns, for example multivariate data observed at two time points or split accord-ing to a dichotomous variable. Methods of interest include principal components analysis for interval-scaled data, or correspondence analysis for frequency data or ratio-scaled variables on commensurate scales. A simple result in matrix algebra shows that by setting up the matrices in a particular block format, matrix sum and difference components can be visualized. The case when we have more than two matrices is also discussed and the methodology is applied to data from the International Social Survey Program.
• dc.format.mimetype application/pdfca
• dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=539
• dc.identifier.citation Journal of Applied Statistics, 30, 10, (2004), pp. 1101-1113
• dc.identifier.uri http://hdl.handle.net/10230/898
• dc.language.iso eng
• dc.relation.ispartofseries Economics and Business Working Papers Series; 539
• dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
• dc.subject.keyword correspondence analysis
• dc.subject.keyword international social survey program (issp)
• dc.subject.keyword matched matrices
• dc.subject.keyword principal component analysis
• dc.subject.keyword singular-value decomposition
• dc.subject.keyword Statistics, Econometrics and Quantitative Methods
• dc.title Analysis of matched matricesca
• dc.type info:eu-repo/semantics/workingPaper