Modeling and prediction of children's growth data via functional principal component analysis

DOI10.1007/s11425-009-0088-5zbMath1176.62061OpenAlexW1526104334WikidataQ33633938 ScholiaQ33633938MaRDI QIDQ1042965

Yu Hu, Jian Tao, Ning-Zhong Shi, Xuming He

Publication date: 7 December 2009

Published in: Science in China. Series A (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2903769

zbMATH Keywords

eigenfunctionsgrowth curvesLMS method

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Non-asymptotic error bound for optimal prediction of function-on-function regression by RKHS approach, Principal component analysis in an asymmetric norm, Dynamic single-index model for functional data, Partial functional linear quantile regression, Shape-constrained estimation in functional regression with Bernstein polynomials

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Conditional growth charts. (With discussion and rejoinder)
• Functional data analysis.
• Shrinkage Estimation for Functional Principal Component Scores with Application to the Population Kinetics of Plasma Folate
• Principal component models for sparse functional data
• Functional Data Analysis for Sparse Longitudinal Data