| Characterization of Italian honeys (Marche Region) on the basis of their mineral content and some typical quality parameters ME Conti, J Stripeikis, L Campanella, D Cucina, MB Tudino Chemistry Central Journal 1, 1-10, 2007 | 148 | 2007 |
| A comparative study of models for the incident duration prediction G Valenti, M Lelli, D Cucina European Transport Research Review 2, 103-111, 2010 | 143 | 2010 |
| Fitting piecewise linear threshold autoregressive models by means of genetic algorithms R Baragona, F Battaglia, D Cucina Computational Statistics & Data Analysis 47 (2), 277-295, 2004 | 60 | 2004 |
| Outliers detection in multivariate time series using genetic algorithms D Cucina, A Di Salvatore, MK Protopapas Chemometrics and Intelligent Laboratory Systems 132, 103-110, 2014 | 43 | 2014 |
| Multivariate statistical methods applied to biomonitoring studies ME Conti, M Iacobucci, D Cucina, M Mecozzi International journal of environment and pollution 29 (1-3), 333-343, 2007 | 34 | 2007 |
| A note on estimating autoregressive exponential models R Baragona, F Battaglia, D Cucina Quaderni di Statistica 4 (1), 71-88, 2002 | 30 | 2002 |
| Estimating threshold subset autoregressive moving-average models by genetic algorithms RBF BATTAGLIA, D CUCINA Metron 62 (1), 39-61, 2004 | 25 | 2004 |
| Double threshold autoregressive conditionally heteroscedastic model building by genetic algorithms R Baragona, D Cucina Journal of Statistical Computation and Simulation 78 (6), 541-558, 2008 | 14 | 2008 |
| Parsimonious periodic autoregressive models for time series with evolving trend and seasonality F Battaglia, D Cucina, M Rizzo Statistics and Computing 30 (1), 77-91, 2020 | 12 | 2020 |
| Empirical likelihood for break detection in time series R Baragona, F Battaglia, D Cucina | 11 | 2013 |
| Multiple changepoint detection for periodic autoregressive models with an application to river flow analysis D Cucina, M Rizzo, E Ursu Stochastic environmental research and risk assessment 33, 1137-1157, 2019 | 10 | 2019 |
| Empirical likelihood for outlier detection and estimation in autoregressive time series R Baragona, F Battaglia, D Cucina Journal of Time Series Analysis 37 (3), 315-336, 2016 | 10 | 2016 |
| Regression analysis model applied to biomonitoring studies ME Conti, D Cucina, M Mecozzi Environmental modeling & assessment 13, 553-565, 2008 | 7 | 2008 |
| Trace metals in molluscs from the Beagle Channel (Argentina): a preliminary study ME Conti, J Stripeikis, M Iacobucci, D Cucina, G Cecchetti, MB Tudino WIT Trans Ecol Environ 99, 473-483, 2006 | 7 | 2006 |
| Detection and estimation of additive outliers in seasonal time series F Battaglia, D Cucina, M Rizzo Computational Statistics 35 (3), 1393-1409, 2020 | 6 | 2020 |
| Genetic search for threshold parameters in time series threshold models: algorithms and computer programs R Baragona, D Cucina TECHNICAL REPORT 10/2009, Department of Statistics, Probability and Applied …, 2009 | 6 | 2009 |
| A generalization of periodic autoregressive models for seasonal time series F Battaglia, C Domenico, M Rizzo RAPPORTO TECNICO. DIPARTIMENTO DI SCIENZE STATISTICHE, 1-18, 2018 | 5 | 2018 |
| Multivariate self-exciting threshold autoregressive modeling by genetic algorithms R Baragona, D Cucina Jahrbücher für Nationalökonomie und Statistik 233 (1), 3-21, 2013 | 5 | 2013 |
| Periodic autoregressive models for time series with integrated seasonality R Baragona, F Battaglia, D Cucina Journal of Statistical Computation and Simulation 91 (4), 694-712, 2021 | 4 | 2021 |
| Outlier identifiability in time series F Battaglia, D Cucina Stat 9 (1), e281, 2020 | 3 | 2020 |
