Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/110063
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dc.contributor.advisorFortiana Gregori, Josep-
dc.contributor.authorMuelas Gorriz, Lorena-
dc.date.accessioned2017-04-25T07:50:54Z-
dc.date.available2017-04-25T07:50:54Z-
dc.date.issued2016-06-27-
dc.identifier.urihttp://hdl.handle.net/2445/110063-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Josep Fortiana Gregorica
dc.description.abstractCanonical Correlations Analysis (CCA) is the most general of multivariate statistical techniques. It can be considered an extension of the concepts of analysis simple and multiple correlation. In this work we study CCA according to the classical definition of Hotelling (1936), adding a geometric perspective. Furthermore we explore relationship between CCA and other multivariate tecniques.ca
dc.format.extent50 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isocatca
dc.rightscc-by-nc-nd (c) Lorena Muelas Gorriz, 2016-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es-
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques-
dc.subject.classificationAnàlisi multivariable-
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationCorrelació (Estadística)ca
dc.subject.otherMultivariate analysis-
dc.subject.otherBachelor's theses-
dc.subject.otherCorrelation (Statistics)en
dc.titleAnàlisi de correlacions canòniquesca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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