A multidimensional unfolding technique that is not prone to degener-ate solutions and is based on multidimensional scaling of a complete data matrix isproposed. We adopt the strategy of augmenting the data matrix, trying to build acomplete dissimilarity matrix, by using Copulas-based association measures amongrankings (the individuals), and between rankings and objects (namely, a rank-orderrepresentation of the objects through tied rankings). The proposed technique leads toacceptable recovery of given preference structures.
Copula-based non-metric unfolding onaugmented data matrix
Nai Ruscone, Marta;
2019-01-01
Abstract
A multidimensional unfolding technique that is not prone to degener-ate solutions and is based on multidimensional scaling of a complete data matrix isproposed. We adopt the strategy of augmenting the data matrix, trying to build acomplete dissimilarity matrix, by using Copulas-based association measures amongrankings (the individuals), and between rankings and objects (namely, a rank-orderrepresentation of the objects through tied rankings). The proposed technique leads toacceptable recovery of given preference structures.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
6572.pdf
accesso aperto
Tipologia:
Documento in versione editoriale
Dimensione
1.12 MB
Formato
Adobe PDF
|
1.12 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.