Analysis of growth curve data by using cubic smoothing splines

DOI10.1080/02664760801923964zbMath1147.62051OpenAlexW2012039425MaRDI QIDQ3532702

Tapio Nummi, Laura Koskela

Publication date: 28 October 2008

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760801923964

zbMATH Keywords

longitudinal datamaximum likelihoodmixed modelscovariance structurespenalized log-likelihood

Mathematics Subject Classification ID

Related Items (6)

A Simulation Comparison of Approximate Tests for Fixed Effects in Random Coefficients Growth Curve Models ⋮ Testing of Multivariate Spline Growth Model ⋮ Estimation of the linear mixed integrated Ornstein–Uhlenbeck model ⋮ Unnamed Item ⋮ Testing for Cubic Smoothing Splines under Dependent Data ⋮ Testing of Growth Curves with Cubic Smoothing Splines

Cites Work

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• Random-Effects Models for Longitudinal Data
• Growth curve models and statistical diagnostics
• Prediction and inverse estimation in repeated-measures models
• Smoothing by spline functions.
• Prediction of Stem Measurements of Scots Pine
• Hypothesis testing in smoothing spline models
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• The elements of statistical learning. Data mining, inference, and prediction
• On the analysis of multivariate growth curves.

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