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

Vito Michele Rosario Muggeo; Agostino Tomasello; Mariangela Sciandra; Sebastiano Calvo

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

Vito Michele Rosario Muggeo, Agostino Tomasello, Mariangela Sciandra, Sebastiano Calvo

Risultato della ricerca: Article › peer review

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 originale	English
pagine (da-a)	519-531
Numero di pagine	13
Rivista	Environmental and Ecological Statistics
Volume	20
Stato di pubblicazione	Published - 2013

All Science Journal Classification (ASJC) codes

Statistics and Probability
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Statistics, Probability and Uncertainty

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

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.",

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AU - Muggeo, Vito Michele Rosario

AU - Tomasello, Agostino

AU - Sciandra, Mariangela

AU - Calvo, Sebastiano

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/75218

M3 - Article

VL - 20

SP - 519

EP - 531

JO - Environmental and Ecological Statistics

JF - Environmental and Ecological Statistics

SN - 1352-8505

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