The aim of the paper is to propose a new approach to preference mapping by exploiting quantile regression. The proposal consists into a multi-steps procedure combining principal component analysis, least squares and quantile regression. Results of the procedure on a case study show how the classical preference map can be enriched by information on the variability along the direction of the most preferred products. Such an additional information is obtained by the use of quantile regression.
A NEW APPROACH TO PREFERENCE MAPPING THROUGH QUANTILE REGRESSION / Davino, Cristina; Naes, Tormod; Romano, Rosaria; Vistocco, Domenico. - (2019), pp. 154-157. (Intervento presentato al convegno CLADAG2019 tenutosi a Cassino nel 11-13 Settembre 2019).
A NEW APPROACH TO PREFERENCE MAPPING THROUGH QUANTILE REGRESSION
Cristina Davino;NAES, TORMOD;Rosaria Romano;Domenico Vistocco
2019
Abstract
The aim of the paper is to propose a new approach to preference mapping by exploiting quantile regression. The proposal consists into a multi-steps procedure combining principal component analysis, least squares and quantile regression. Results of the procedure on a case study show how the classical preference map can be enriched by information on the variability along the direction of the most preferred products. Such an additional information is obtained by the use of quantile regression.| File | Dimensione | Formato | |
|---|---|---|---|
|
Cladag19.pdf
solo utenti autorizzati
Descrizione: Proceedings Gladag2019
Tipologia:
Documento in Post-print
Licenza:
Accesso privato/ristretto
Dimensione
1.21 MB
Formato
Adobe PDF
|
1.21 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
