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Assessing non-linear estimation procedures for human growth models

Bibliographic Data

ID13923770
AuthorsB Hansen, Bruce E Hansen (University of Oxford, corresponding author), Mario Cortina‐borja (0000-0003-0627-2624, Royal College of Paediatrics and Child Health), M Cortina-Borja, S G Ratcliffe (Western General Hospital)
Year2003
Volume30
Issue1
Pages80-96
Publication date2003-01-01
Open AccessYes
TypeARTICLE
VenueAnnals of Human Biology (JOURNAL)
Journal identifiersISSN: 0301-4460 • E-ISSN: 1464-5033
PublisherInforma (PUBLISHER • GB)
DOI10.1080/03014460210165890
PMID12519656
OpenAlexW2047881359
LanguageEN
Citations received2
References cited7

The five models studied are reasonably robust against most of the problems encountered when fitting non-linear models to human growth data; this confirms some conjectures which have been taken for granted by a large number of authors. The presence of cyclical patterns is a consequence of the global description of growth attempted by these five models

Autocorrelation · Curvature · Data mining · Econometrics · Estimation · Estimator · Growth curve (statistics · Heteroscedasticity · Least-squares function approximation · Linear model · Longitudinal data · Ordinary least squares · Statistics · Birth, Development, and Health · Computer Science · Mathematics

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Citations per year0.13
Citation span2011 - 2014 (4)
Highly citedNo

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