A new approach to preference mapping through quantile regression

11 September 2019
 Download pdf

Cladag 2019 - 12th Scientific Meeting Classification and Data Analysis Group
Cassino, September 11 – 13, 2019.

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.

« QCPM for Conditional Quantiles Estimation of Health Indicators | The effects of attitude toward Statistics and Math knowledge on Statistical anxiety: A path model approach »