| A statistical approach to ship fuel consumption monitoring D Bocchetti, A Lepore, B Palumbo, L Vitiello Journal of Ship Research 59 (03), 162-171, 2015 | 69 | 2015 |
| A procedure for predicting and controlling the ship fuel consumption: its implementation and test P Erto, A Lepore, B Palumbo, L Vitiello Quality and Reliability Engineering International 31 (7), 1177-1184, 2015 | 48 | 2015 |
| A note on decision making method for product acceptance based on process capability indices Cpk and Cpmk A Lepore, B Palumbo, P Castagliola European Journal of Operational Research 267 (1), 393-398, 2018 | 47 | 2018 |
| On the geometric accuracy of RepRap open-source three-dimensional printer A Lanzotti, DM Del Giudice, A Lepore, G Staiano, M Martorelli Journal of Mechanical Design 137 (10), 101703, 2015 | 47 | 2015 |
| The generalized inflection S-shaped software reliability growth model P Erto, M Giorgio, A Lepore IEEE Transactions on Reliability 69 (1), 228-244, 2018 | 39 | 2018 |
| A comparison of advanced regression techniques for predicting ship CO2 emissions A Lepore, MS Dos Reis, B Palumbo, R Rendall, C Capezza Quality and Reliability Engineering International 33 (6), 1281-1292, 2017 | 39 | 2017 |
| Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data C Capezza, S Coleman, A Lepore, B Palumbo, L Vitiello Transportation Research Part D: Transport and Environment 67, 375-387, 2019 | 37 | 2019 |
| A statistical control of the ship fuel consumption D Bocchetti, A Lepore, B Palumbo, L Vitiello Proceedings of the Design & Operation of Passenger Ship, London, UK, 20-21, 2013 | 22 | 2013 |
| Smooth lasso estimator for the function-on-function linear regression model F Centofanti, M Fontana, A Lepore, S Vantini Computational Statistics & Data Analysis 176, 107556, 2022 | 21 | 2022 |
| Control charts for monitoring ship operating conditions and CO2 emissions based on scalar‐on‐function regression C Capezza, A Lepore, A Menafoglio, B Palumbo, S Vantini Applied Stochastic Models in Business and Industry 36 (3), 477-500, 2020 | 21 | 2020 |
| Functional regression control chart F Centofanti, A Lepore, A Menafoglio, B Palumbo, S Vantini Technometrics 63 (3), 281-294, 2021 | 20 | 2021 |
| Functional clustering methods for resistance spot welding process data in the automotive industry C Capezza, F Centofanti, A Lepore, B Palumbo Applied Stochastic Models in Business and Industry 37 (5), 908-925, 2021 | 13 | 2021 |
| New insights into the decisional use of process capability indices via hypothesis testing A Lepore, B Palumbo Quality and Reliability Engineering International 31 (8), 1725-1741, 2015 | 13 | 2015 |
| Analysis of profiles for monitoring of modern ship performance via partial least squares methods A Lepore, B Palumbo, C Capezza Quality and Reliability Engineering International 34 (7), 1424-1436, 2018 | 11 | 2018 |
| Predicting ships' CO2 emissions using feature‐oriented methods MS Reis, R Rendall, B Palumbo, A Lepore, C Capezza Applied Stochastic Models in Business and Industry 36 (1), 110-123, 2020 | 10 | 2020 |
| Adaptive smoothing spline estimator for the function-on-function linear regression model F Centofanti, A Lepore, A Menafoglio, B Palumbo, S Vantini Computational Statistics 38 (1), 191-216, 2023 | 8 | 2023 |
| Functional regression control chart for monitoring ship CO 2 _2 emissions C Capezza, F Centofanti, A Lepore, A Menafoglio, B Palumbo, S Vantini Quality and Reliability Engineering International 38 (3), 1519-1537, 2022 | 8 | 2022 |
| Wind speed parameter estimation from one‐month sample via Bayesian approach P Erto, A Lanzotti, A Lepore Quality and Reliability Engineering International 26 (8), 853-862, 2010 | 8 | 2010 |
| A Bayesian approach for site-specific wind rose prediction A Lepore, B Palumbo, A Pievatolo Renewable energy 150, 691-702, 2020 | 7 | 2020 |
| Sparse and smooth functional data clustering F Centofanti, A Lepore, B Palumbo Statistical Papers 65 (2), 795-825, 2024 | 6 | 2024 |
Biagio PalumboUniversità degli Studi di Napoli Federico IIBestätigte E-Mail-Adresse bei unina.it
