6533b857fe1ef96bd12b4542

RESEARCH PRODUCT

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

Sebastiano CalvoAgostino TomaselloMariangela SciandraVito M. R. Muggeo

subject

Statistics and ProbabilitySettore BIO/07 - EcologiaStatistics::TheoryEcology (disciplines)Nonparametric statisticsMonotonic functionRegressionStatistics::ComputationQuantile regressionNonlinear systemR packageStatisticsEconometricsStatistics::MethodologyGrowth charts Nonparametric regression quantiles Penalized splines P. oceanica modelling R softwareStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaGeneral Environmental ScienceMathematicsQuantile

description

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.

yearjournalcountryeditionlanguage
2013-01-01
10.1007/s10651-012-0232-1http://hdl.handle.net/10447/75218