LR tests for random-coefficient covariance structures in an extended growth curve model

DOI10.1006/jmva.2000.1907zbMath0971.62030OpenAlexW2042187051MaRDI QIDQ1840779

Dietrich von Rosen, Yasunori Fujikoshi

Publication date: 4 October 2001

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.2000.1907

zbMATH Keywords

extended growth curve modelrandom-coefficient covariance structures

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15)

Related Items (4)

Contributions to multivariate analysis by Professor Yasunori Fujikoshi ⋮ Covariance components selection in high-dimensional growth curve model with random coefficients ⋮ Unnamed Item ⋮ Growth curve model with bilinear random coefficients

Cites Work

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• Tests for random-effects covariance structures in the growth curve model with covariates
• Growth curve model with hierarchical within-individuals design matrices
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Estimation of Time-Response Curves and Their Confidence Bands
• Efficient Inference for Random-Coefficient Growth Curve Models with Unbalanced Data
• An extension of the growth curve model
• The Effect of Covariance Structure on Variance Estimation in Balanced Growth-Curve Models with Random Parameters
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves

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