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PERFORMANCE OF INFORMATION CRITERIA FOR MODEL SELECTION IN A LATENT GROWTH CURVE MIXTURE MODEL

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Publication:3455421
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DOI10.5183/jjscs.1309001_207zbMath1326.62014OpenAlexW2003885756MaRDI QIDQ3455421

Satoshi Usami

Publication date: 4 December 2015

Published in: Journal of the Japanese Society of Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5183/jjscs.1309001_207


zbMATH Keywords

longitudinal datamodel selectioninformation criterialatent growth curve modellatent growth curve mixture model


Mathematics Subject Classification ID

Bayesian inference (62F15) Statistical aspects of information-theoretic topics (62B10)


Related Items (1)

The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories




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