Comparison of Inverse-Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis /

Comparison of Inverse-Wishart and Separation-Strategy Priors for Bayesian Estimation of Covariance Parameter Matrix in Growth Curve Analysis / Haiyan Liu, Zhiyong Zhang and Kevin J. Grimm.

Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the...

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Online Access: Full Text (via ERIC)
Main Authors: Liu, Haiyan, Zhang, Zhiyong (Author), Grimm, Kevin J. (Author)
Format: eBook
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 2016.
Subjects:
Bayesian Statistics.
Computation.
Statistical Analysis.
Growth Models.
Comparative Analysis.
Longitudinal Studies.
Statistical Distributions.
Probability.
Children.
Intelligence Tests.
Surveys.

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