Selection of covariables in the growth curve model

DOI10.1093/biomet/78.4.779zbMath0754.62039OpenAlexW2085275648MaRDI QIDQ4020617

Yasunori Fujikoshi

Publication date: 17 January 1993

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/78.4.779

zbMATH Keywords

growth curve modelAICinformation criterialikelihood ratio criteriaselection of covariablesmultivariate analysis of variance modelbest subset of covariablesredundancy of covariables

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (12)

Many-to-one comparison of nonlinear growth curves for Washington's Red Delicious apple ⋮ Response transformations in repeated measures and growth curve models ⋮ Contributions to multivariate analysis by Professor Yasunori Fujikoshi ⋮ A brief biography and appreciation of Calyampudi Radhakrishna Rao, with a bibliography of his books and papers ⋮ Model determination and estimation for the growth curve model via group SCAD penalty ⋮ Multiple-response repeated measurement or multivariate growth curve model with distribution-free errors ⋮ Detecting influential covariates in a growth curve model. ⋮ Optimal covariance adjustment in growth curve models ⋮ Applied regression analysis bibliography update 1990-91 ⋮ A Comparison of REML and Covariance Adjustment Method in the Estimation of Growth Curve Models ⋮ Two-way selection of covariables in multivariate growth curve models ⋮ Form and selection of covariance adjusted estimators in repeated measures models

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