| The class of cub models: statistical foundations, inferential issues and empirical evidence D Piccolo, R Simone Statistical Methods & Applications 28, 389-435, 2019 | 49 | 2019 |
| 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 | 46 | 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 | 32 | 2019 |
| Classical and free fourth moment theorems: universality and thresholds I Nourdin, G Peccati, G Poly, R Simone Journal of Theoretical Probability 29 (2), 653-680, 2016 | 23 | 2016 |
| Modelling uncertainty and response styles in ordinal data R Simone, G Tutz Statistica Neerlandica 72 (3), 224-245, 2018 | 22 | 2018 |
| A model-based fuzzy analysis of questionnaires E Di Nardo, R Simone Statistical Methods & Applications 28 (2), 187-215, 2019 | 20 | 2019 |
| Well-being and relational goods: a model-based approach to detect significant relationships S Capecchi, M Iannario, R Simone Social Indicators Research 135, 729-750, 2018 | 19 | 2018 |
| A proposal for a model-based composite indicator: Experience on perceived discrimination in europe S Capecchi, R Simone Social Indicators Research 141, 95-110, 2019 | 14 | 2019 |
| cubremot: A tool for building model-based trees for ordinal responses C Cappelli, R Simone, F Di Iorio Expert Systems with Applications 124, 39-49, 2019 | 13 | 2019 |
| Soil Conservation Practices and Stakeholder’s Participation in Research Projects—Empirical Evidence from Southern Italy R Salvia, R Simone, L Salvati, G Quaranta Agriculture 8 (6), 85, 2018 | 11 | 2018 |
| The analysis of the keratin matrix as a new tool to evaluate the epidemiology of drug use in Perugia (Italy): a cross sectional study I Mercurio, G Troiano, P Melai, R Simone, N Nante, M Bacci Epidemiology, Biostatistics and Public Health 13 (2), 2016 | 9 | 2016 |
| An accelerated EM algorithm for mixture models with uncertainty for rating data R Simone Computational Statistics 36 (1), 691-714, 2021 | 8 | 2021 |
| An Indexation Mechanism for Retirement Age: Analysis of the Gender Gap M Coppola, M Russolillo, R Simone Risks 7 (1), 21, 2019 | 8 | 2019 |
| Subjective heterogeneity in response attitude for multivariate ordinal outcomes R Simone, G Tutz, M Iannario Econometrics and Statistics 14, 145-158, 2020 | 7 | 2020 |
| Rejoinder to the discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” D Piccolo, R Simone Statistical Methods & Applications 28, 477-493, 2019 | 7 | 2019 |
| Modelling marginal ranking distributions: The uncertainty tree R Simone, C Cappelli, F Di Iorio Pattern Recognition Letters 125, 278-288, 2019 | 7 | 2019 |
| The effect of uncertainty on the assessment of individual performance: empirical evidence from professional soccer F Fin, M Iannario, D Piccolo, R Simone Electronic Journal of Applied Statistical Analysis 10 (3), 677-692, 2017 | 7 | 2017 |
| Multidimensional limit theorems for homogeneous sums: a survey and a general transfer principle I Nourdin, G Peccati, G Poly, R Simone ESAIM: Probability and Statistics 20, 293-308, 2016 | 7 | 2016 |
| Universality of free homogeneous sums in every dimension R Simone arXiv preprint arXiv:1401.1423, 2014 | 7 | 2014 |
| On the management of retirement age indexed to life expectancy: a scenario analysis of the Italian longevity experience M Coppola, M Russolillo, R Simone The Journal of Risk Finance 21 (3), 217-231, 2020 | 6 | 2020 |
