Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology.

Risultato della ricerca: Articlepeer review

42 Citazioni (Scopus)

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.
Lingua originaleEnglish
pagine (da-a)519-531
Numero di pagine13
RivistaEnvironmental and Ecological Statistics
Volume20
Stato di pubblicazionePublished - 2013

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • ???subjectarea.asjc.2300.2300???
  • Statistics, Probability and Uncertainty

Fingerprint Entra nei temi di ricerca di 'Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology.'. Insieme formano una fingerprint unica.

Cita questo