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dc.contributorAluja Banet, Tomàs
dc.contributor.authorJi, Jinyu
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2016-04-25T08:22:45Z
dc.date.available2016-04-25T08:22:45Z
dc.date.issued2016-04-21
dc.identifier.urihttp://hdl.handle.net/2117/86123
dc.description.abstractThe using of PLSPM (partial least squares path modeling) Mode A to analysis real problem in Marketing, statistic research and education has good results. PLSPM methodology is the standard for component based estimation of intangibles, but recently other approaches have been proposed, mainly the Regularized Generalized Canonical Correlation Analysis and the Generalized Structure Component Analysis. Our purpose is to assess the differences and common basis for an empirical point of view, using an established benchmark of data.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMathematical statistics
dc.titleComponent based estimation of intangibles: a comparison of PSLPM with related methods
dc.typeMaster thesis
dc.subject.lemacEstadística matemàtica
dc.identifier.slug109493
dc.rights.accessOpen Access
dc.date.updated2016-04-23T04:00:21Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)


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