Variable selection for the growth curve model
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Publication:1360305
DOI10.1006/jmva.1996.1658zbMath0873.62054OpenAlexW2001318176MaRDI QIDQ1360305
Kenichi Satoh, Yasunori Fujikoshi, Mika Kobayashi
Publication date: 17 July 1997
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1006/jmva.1996.1658
simulationgrowth curve modelvariable selection criteria\(Cp\)-statistic\(MIC\)bias propertiesmodifications of \(AIC\)polynomial growth curve
Estimation in multivariate analysis (62H12) Linear inference, regression (62J99) Statistical ranking and selection procedures (62F07)
Related Items (10)
Asymptotic theory for information criteria in model selection -- functional approach ⋮ Corrected versions of cross-validation criteria for selecting multivariate regression and growth curve models ⋮ Contributions to multivariate analysis by Professor Yasunori Fujikoshi ⋮ High-dimensional AIC in the growth curve model ⋮ 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 ⋮ Subspace Information Criterion for Model Selection ⋮ Optimal covariance adjustment in growth curve models ⋮ Bias-Corrected AIC for Selecting Variables in Poisson Regression Models ⋮ Estimation of Varying Coefficients for a Growth Curve Model
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