Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Economics and Econometrics,Social Sciences (miscellaneous),Modeling and Simulation,Statistics and Probability,Analysis
Reference79 articles.
1. Ahn, M., Zhang, H.H., Lu, W.: Moment-based method for random effects selection in linear mixed models. Stat. Sin. 22(4), 1539 (2012)
2. Akaike, H.: Information theory and an extension of the maximum likelihood principle. Breakthroughs in Statistics, pp. 610–624. Springer, Berlin (1992)
3. Bondell, H.D., Krishna, A., Ghosh, S.K.: Joint variable selection for fixed and random effects in linear mixed-effects models. Biometrics 66(4), 1069–1077 (2010)
4. Bozdogan, H.: Model selection and Akaike’s information criterion (AIC): the general theory and its analytical extensions. Psychometrika 52, 345–370 (1987)
5. Braun, J., Held, L., Ledergerber, B.: Predictive cross-validation for the choice of linear mixed-effects models with application to data from the Swiss HIV Cohort Study. Biometrics 68(1), 53–61 (2012)
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