| CUB models: Statistical methods and empirical evidence M Iannario, D Piccolo Modern Analysis of Customer Surveys: with applications using R, 231-258, 2011 | 103 | 2011 |
| Modelling shelter choices in a class of mixture models for ordinal responses M Iannario Statistical Methods & Applications 21, 1-22, 2012 | 99 | 2012 |
| On the identifiability of a mixture model for ordinal data M Iannario Metron 68, 87-94, 2010 | 98 | 2010 |
| Sensory analysis in the food industry as a tool for marketing decisions M Iannario, M Manisera, D Piccolo, P Zuccolotto Advances in Data Analysis and classification 6, 303-321, 2012 | 85 | 2012 |
| Modelling uncertainty and overdispersion in ordinal data M Iannario Communications in Statistics-Theory and Methods 43 (4), 771-786, 2014 | 74 | 2014 |
| A new statistical model for the analysis of customer satisfaction M Iannario, D Piccolo Quality Technology & Quantitative Management 7 (2), 149-168, 2010 | 64 | 2010 |
| A class of statistical models for evaluating services and performances M Corduas, M Iannario, D Piccolo Statistical methods for the evaluation of educational services and quality …, 2009 | 63 | 2009 |
| Measuring job satisfaction with CUB models R Gambacorta, M Iannario Labour 27 (2), 198-224, 2013 | 55 | 2013 |
| Hierarchical CUB models for ordinal variables M Iannario Communications in Statistics-Theory and Methods 41 (16-17), 3110-3125, 2012 | 50 | 2012 |
| CUB: A class of mixture models for ordinal data M Iannario, D Piccolo, R Simone R package version 0.1, available at: cran. r-project. org/web/packages/CUB …, 2016 | 45 | 2016 |
| Mixture models for ordinal responses to account for uncertainty of choice G Tutz, M Schneider, M Iannario, D Piccolo Advances in Data Analysis and Classification 11, 281-305, 2017 | 42 | 2017 |
| A generalized framework for modelling ordinal data M Iannario, D Piccolo Statistical Methods & Applications 25, 163-189, 2016 | 41 | 2016 |
| Varying uncertainty in CUB models A Gottard, M Iannario, D Piccolo Advances in Data Analysis and Classification 10, 225-244, 2016 | 41 | 2016 |
| Fitting measures for ordinal data models M Iannario Quaderni di statistica 11, 46-79, 2009 | 36 | 2009 |
| Latent class CUB models L Grilli, M Iannario, D Piccolo, C Rampichini Advances in Data Analysis and Classification 8, 105-119, 2014 | 34 | 2014 |
| A comprehensive framework of regression models for ordinal data M Iannario, D Piccolo Metron 74, 233-252, 2016 | 29 | 2016 |
| Cumulative and CUB models for rating data: a comparative analysis D Piccolo, R Simone, M Iannario International Statistical Review 87 (2), 207-236, 2019 | 28 | 2019 |
| Preliminary estimators for a mixture model of ordinal data M Iannario Advances in Data Analysis and Classification 6, 163-184, 2012 | 28 | 2012 |
| A statistical approach for modelling Urban Audit Perception Surveys M Iannario Quaderni di Statistica 9, 149-172, 2007 | 24 | 2007 |
| Statistical modelling of subjective survival probabilities M Iannario, D Piccolo Genus 66 (2), 17-42, 2010 | 22 | 2010 |
