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Hung, Lai-Fa – Multivariate Behavioral Research, 2010
Longitudinal data describe developmental patterns and enable predictions of individual changes beyond sampled time points. Major methodological issues in longitudinal data include modeling random effects, subject effects, growth curve parameters, and autoregressive residuals. This study embedded the longitudinal model within a multigroup…
Descriptors: Longitudinal Studies, Data, Models, Markov Processes
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Gross, Alan L. – Multivariate Behavioral Research, 2000
Presents a Bayesian method for obtaining an interval estimate of the population squared multiple correlation from an incomplete multivariate normal data set. Estimates were constructed using Gibbs sampling. Simulation studies indicate that the method can yield accurate interval estimates of the population squared multiple correlation. (SLD)
Descriptors: Bayesian Statistics, Correlation, Estimation (Mathematics), Simulation
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Woodbury, Max A.; Manton, Kenneth G. – Multivariate Behavioral Research, 1991
An empirical Bayes-maximum likelihood estimation procedure is presented for the application of fuzzy partition models in describing high dimensional discrete response data. The model describes individuals in terms of partial membership in multiple latent categories that represent bounded discrete spaces. (SLD)
Descriptors: Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics), Mathematical Models