Archivio istituzionale della ricerca dell'Università degli Studi di Palermo
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, pubblicazioni, progetti, attività) adottato dall’Università di Palermo, e ha lo scopo di raccogliere, conservare, documentare, e diffondere ad accesso aperto le informazioni relative alla produzione scientifica degli autori afferenti all’Ateneo.
EnglishWe discuss a practical and effective framework to estimate reference growth charts via regression quantiles. Inequality constraints are used to ensure both monotonicity and non-crossing of the estimated quantile curves and penalized splines are employed to model the nonlinear growth patterns with respect to age. A companion R package is presented and relevant code discussed to favour spreading and application of the proposed methods.
Muggeo, V., Sciandra, M., Tomasello, A., & Calvo, S. (2013). Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 20, 519-531 [10.1007/s10651-012-0232-1].
| Data di pubblicazione: | 2013 | |
| Titolo: | Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology. | |
| Autori: | ||
| Citazione: | Muggeo, V., Sciandra, M., Tomasello, A., & Calvo, S. (2013). Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 20, 519-531 [10.1007/s10651-012-0232-1]. | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s10651-012-0232-1 | |
| Abstract: | We discuss a practical and effective framework to estimate reference growth charts via regression quantiles. Inequality constraints are used to ensure both monotonicity and non-crossing of the estimated quantile curves and penalized splines are employed to model the nonlinear growth patterns with respect to age. A companion R package is presented and relevant code discussed to favour spreading and application of the proposed methods. | |
| Settore Scientifico Disciplinare: | Settore BIO/07 - Ecologia Settore SECS-S/01 - Statistica | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| muggeo at al, Envi Ecol Stat 2013.pdf | N/A | Administrator Richiedi una copia |
http://hdl.handle.net/10447/75218
Copyright © 2021