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Component based estimation of intangibles: a comparison of PSLPM with related methods
| dc.contributor | Aluja Banet, Tomàs |
| dc.contributor.author | Ji, Jinyu |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
| dc.date.accessioned | 2016-04-25T08:22:45Z |
| dc.date.available | 2016-04-25T08:22:45Z |
| dc.date.issued | 2016-04-21 |
| dc.identifier.uri | http://hdl.handle.net/2117/86123 |
| dc.description.abstract | The 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.iso | eng |
| dc.publisher | Universitat Politècnica de Catalunya |
| dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| dc.subject.lcsh | Mathematical statistics |
| dc.title | Component based estimation of intangibles: a comparison of PSLPM with related methods |
| dc.type | Master thesis |
| dc.subject.lemac | Estadística matemàtica |
| dc.identifier.slug | 109493 |
| dc.rights.access | Open Access |
| dc.date.updated | 2016-04-23T04:00:21Z |
| dc.audience.educationlevel | Màster |
| dc.audience.mediator | Facultat d'Informàtica de Barcelona |
| dc.audience.degree | MÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012) |
