[1] P. E. Green and V. R. Rao, “Conjoint Measurement for Quantifying Judgmental Data,” Journal of Marketing Research, Vol. 8, No. 3, 1971, pp. 355-363.
[2] A. De Luca, “A Logit Model with a Variable Response and Predictors on an Ordinal Scale to Measure Customer Satisfaction,” Quality and Reliability Engineering International, Vol. 22, No. 5, 2006, pp. 591-602. doi:10.1002/qre.764
[3] W. L. Moore, “Levels of Aggregation in Conjoint Analysis: An Empirical Comparison,” Journal of Marketing Research, Vol. 17, No. 4, 1980, pp. 516-523. doi:10.2307/3150504
[4] T. Amemiya, “Advanced Econometrics,” Blackwell Ltd., Oxford, 1985.
[5] A. De Luca and S. Ciapparelli, “Multivariate Logistic Re- gression for the Estimate of Response Functions in the Conjoint Analysis,” Proceedings MTISD 2008—Methods, Models and Information Technologies for Decision Support Systems, Università del Salento, Lecce, 2008, pp. 23-24.
[6] B. Peterson and F. E. Harrell, “Partial Proportional Odds Models for Ordinal Response Variables,” Applied Statistics, Vol. 39, No. 2, 1990, pp. 205-207. doi:10.2307/2347760
[7] P. McCullagh, “Regression Models for Ordinal Data,” Journal of Royal Statistical Society, Vol. 42, No. 2, 1980, pp. 109-142.