Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Similarity indices of meteo-climatic gauging stations for missing data handling: definition and comparison with the MICE method |
| Abstract | The meteo-climatic datasets are at the basis of a great deal of studies on environmental state and its consequent management. In this frame, the completeness of meteo-climatic datasets is required for accurate and reliable analysis. Unfortunately, completeness is a rare in practice and, consequently, a preliminary treatment for filling in all gaps is needed. In this work, two intuitive and easy procedures for handling missing data are presented based on the "similarity station" concept. Finally, a comparison between the proposed methods and the Multiple Imputation Chained Equations, which is the state of the art in the field of missing data handling, has been carried out. |
| Source | GRASPA 2015, Bari, 15-16 giugno 2015GRASPA Working Papers Special Issue, pp. 33–36 |
| Keywords | Missing data; Time series; Multiple Imputation Chained Equations; Similarity methods |
| Journal | GRASPA Working Papers |
| Editor | GRASPA - Gruppo di Ricerca per le Applicazioni della Statistica ai Problemi Ambientali, S.l., Italia |
| Year | 2015 |
| Type | Contributo in atti di convegno |
| Authors | E. Barca, G. Passarella |
| Text | 331488 2015 Missing data; Time series; Multiple Imputation Chained Equations; Similarity methods Similarity indices of meteo climatic gauging stations for missing data handling definition and comparison with the MICE method E. Barca, G. Passarella E. Barca 1 , G. Passarella 1 1 Water Research Institute of the National Research Council, Department of Bari, Viale F. De Blasio, 5 70123 The meteo climatic datasets are at the basis of a great deal of studies on environmental state and its consequent management. In this frame, the completeness of meteo climatic datasets is required for accurate and reliable analysis. Unfortunately, completeness is a rare in practice and, consequently, a preliminary treatment for filling in all gaps is needed. In this work, two intuitive and easy procedures for handling missing data are presented based on the similarity station concept. Finally, a comparison between the proposed methods and the Multiple Imputation Chained Equations, which is the state of the art in the field of missing data handling, has been carried out. Proceedings of the GRASPA2015 Conference A. Fasso and A. Pollice Published version http //meetings.sis statistica.org/index.php/graspa2015/graspa2015/paper/viewFile/3291/591 E. Barca, G. Passarella 2015 Similarity indices of meteo climatic gauging stations for missing data handling definition and comparison with the MICE method. In A. Fasso and A. Pollice Editors . Proceedings of the GRASPA2015 Conference, Bari, 15 16 June, 2015. Special issue of GRASPA Working Papers. ISSN 2037 7738. Special Issue GRASPA 2015 Bari 15 16 giugno 2015 Internazionale Contributo Similarity indices of meteo climatic gauging stations for missing data handling definition and comparison with the MICE method. 3291_7032_1_PB.pdf Contributo in atti di convegno GRASPA Gruppo di Ricerca per le Applicazioni della Statistica ai Problemi Ambientali 2037 7738 GRASPA Working Papers GRASPA Working Papers GRASPA Working Papers Working Papers. GRASPA Gruppo di Ricerca per le Applicazioni della Statistica ai Problemi Ambientali 2037 7738 GRASPA Working Papers GRASPA Working Papers GRASPA Working Papers Working Papers. giuseppe.passarella PASSARELLA GIUSEPPE emanuele.barca BARCA EMANUELE TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche |