A Finite Mixture of Nonlinear Random Coefficient Models for Continuous Repeated Measures Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Psychology
Link
http://link.springer.com/content/pdf/10.1007/s11336-015-9462-0.pdf
Reference60 articles.
1. Aitkin, M., & Rubin, D. B. (1985). Estimation and hypothesis testing in finite mixture models. Journal of the Royal Statistical Society Series D (Methodological), 47, 67–75.
2. Arminger, G., Stein, P., & Wittenberg, J. (1999). Mixtures of conditional mean and covariance structure models. Psychometrika, 64, 475–494.
3. Blozis, S. A. (2004). Structured latent curve models for the study of change in multivariate repeated measures data. Psychological Methods, 9, 334–353.
4. Blozis, S. A., & Cudeck, R. (1999). Linear mixed-effects models with latent variable covariates. Journal of Educational and Behavioral Statistics, 24, 245–270.
5. Boos, D., & Brownie, C. (1991). Mixture models for continuous data in dose-response studies when some animals are unaffected by treatment. Biometrics, 47, 1489–1504.
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