Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/10230/740

Generalized canonical correlation analysis of matrices with different row and column orders;
Generalized canonical correlation analysis of matrices with missing rows: a simulation study
Van de Velden, Michel; Bijmolt, Tammo
Universitat Pompeu Fabra. Departament d'Economia i Empresa
A Method is offered that makes it possible to apply generalized canonicalcorrelations analysis (CANCOR) to two or more matrices of different row and column order. The new method optimizes the generalized canonical correlationanalysis objective by considering only the observed values. This is achieved byemploying selection matrices. We present and discuss fit measures to assessthe quality of the solutions. In a simulation study we assess the performance of our new method and compare it to an existing procedure called GENCOM,proposed by Green and Carroll. We find that our new method outperforms the GENCOM algorithm both with respect to model fit and recovery of the truestructure. Moreover, as our new method does not require any type of iteration itis easier to implement and requires less computation. We illustrate the methodby means of an example concerning the relative positions of the political parties inthe Netherlands based on provincial data.
15-09-2005
Statistics, Econometrics and Quantitative Methods
generalized canonical correlation analysis
perceptual mapping
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Documento de trabajo
         

Mostrar el registro completo del ítem