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

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42 Citations (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.
Original languageEnglish
Pages (from-to)519-531
Number of pages13
JournalEnvironmental and Ecological Statistics
Volume20
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • General Environmental Science
  • Statistics, Probability and Uncertainty

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