| Cluster Analysis for mixed data: An application to credit risk evaluation G Caruso, SA Gattone, F Fortuna, T Di Battista Socio-Economic Planning Sciences 73, 100850, 2021 | 95 | 2021 |
| Environmental monitoring through functional biodiversity tools T Di Battista, F Fortuna, F Maturo Ecological Indicators 60, 237-247, 2016 | 64 | 2016 |
| BioFTF: An R package for biodiversity assessment with the functional data analysis approach T Di Battista, F Fortuna, F Maturo Ecological Indicators 73, 726-732, 2017 | 43 | 2017 |
| Cluster analysis as a decision-making tool: a methodological review G Caruso, SA Gattone, F Fortuna, T Di Battista Decision Economics: In the Tradition of Herbert A. Simon's Heritage …, 2018 | 40 | 2018 |
| K-means clustering of item characteristic curves and item information curves via functional principal component analysis F Fortuna, F Maturo Quality & Quantity 53, 2291-2304, 2019 | 28 | 2019 |
| Clustering functional data streams: Unsupervised classification of soccer top players based on Google trends F Fortuna, F Maturo, T Di Battista Quality and Reliability Engineering International 34 (7), 1448-1460, 2018 | 28 | 2018 |
| Parametric functional analysis of variance for fish biodiversity assessment T Di Battista, F Fortuna, F Maturo Journal of Environmental Informatics 28 (2), 101-109, 2016 | 28 | 2016 |
| Bell-shaped fuzzy numbers associated with the normal curve F Maturo, F Fortuna Topics on methodological and applied statistical inference, 131-144, 2016 | 23 | 2016 |
| Assessing social interest in burnout using Google Trends data AM Aguilera, F Fortuna, M Escabias, T Di Battista Social Indicators Research 156, 587-599, 2021 | 20 | 2021 |
| Testing equality of functions across multiple experimental conditions for different ability levels in the IRT context: the case of the IPRASE TLT 2016 Survey F Maturo, F Fortuna, T Di Battista Social Indicators Research 146, 19-39, 2019 | 18 | 2019 |
| Parametric functional analysis of variance for fish biodiversity T Di Battista, F Fortuna, F Maturo Proceedings of the International Conference on Marine and Freshwater …, 2014 | 17 | 2014 |
| Clustering dichotomously scored items through functional k-means algorithm T Di Battista, F Fortuna Electronic Journal of Applied Statistical Analysis 9 (2), 433-450, 2016 | 15 | 2016 |
| Assessing biodiversity profile through FDA T Di Battista, F Fortuna Statistica 73 (1), 69-85, 2013 | 15 | 2013 |
| Best practices to improve the learning of statistics: the case of the National Olympics of Statistic in Italy C Cristiana, F Francesca, M Fabrizio Procedia-Social and Behavioral Sciences 93, 2194-2199, 2013 | 13 | 2013 |
| Functional confidence bands for lichen biodiversity profiles: A case study in Tuscany region (central Italy) T Di Battista, F Fortuna Statistical Analysis and Data Mining: The ASA Data Science Journal 10 (1), 21-28, 2017 | 12 | 2017 |
| L’item response theory come strumento di valutazione delle eccellenze nella scuola C Ceccatelli, T Di Battista, F Fortuna, F Maturo Science & Philosophy 1 (1), 143-156, 2013 | 11 | 2013 |
| Clustering functional data on convex function spaces T Di Battista, A De Sanctis, F Fortuna Topics on methodological and applied statistical inference, 105-114, 2016 | 10 | 2016 |
| Mediterranean diet Patterns in the Italian Population: A functional data analysis of Google Trends G Caruso, F Fortuna Decisions and Trends in Social Systems: Innovative and Integrated Approaches …, 2021 | 8 | 2021 |
| Functional unsupervised classification of spatial biodiversity F Fortuna, T Di Battista Ecological Indicators 111, 106027, 2020 | 7 | 2020 |
| Adaptive cluster double sampling with post stratification with application to an epiphytic lichen community SA Gattone, P Giordani, T Di Battista, F Fortuna Environmental and ecological statistics 25, 125-138, 2018 | 7 | 2018 |
Tonio Di BattistaUniv. G. d'Annunzio Chieti- PescaraVerified email at unich.it