1 |
Dimova, R. B., Markatou, M. and Talal, A. H. (2011). Information methods for model selection in linear mixed effects models with application to HCV data, Computational Statistics & Data Analysis, 55, 2677-2697.
DOI
ScienceOn
|
2 |
Greven, S. and Kneib, T. (2010). On the behaviour of marginal and conditional AIC in linear mixed models, Biometrika, 97, 773-789.
DOI
ScienceOn
|
3 |
Liang, H., Wu, H. and Zou, G. (2008). A note on conditional AIC for linear mixed-effects models, Biometrika, 95, 773-778.
DOI
ScienceOn
|
4 |
McCulloch, C. E. and Searle, S. R. (2001). Generalized Linear Mixed Models, John Wiley & Sons, New York.
|
5 |
Muller, S., Scealy, J. L. and Welsh, A. H. (2013). Model selection in linear mixed models, Statistical Science, 28, 135-167.
DOI
|
6 |
Searle, S. R., Casella, G. and McCulloch, C. E. (1992). Variance Components, John Wiley & Sons, New York.
|
7 |
Stein, C. M. (1981). Estimation of the mean of a multivariate normal distribution, Annals of Statistics, 9, 1135-1151.
DOI
|
8 |
Vaida, F. and Blanchard, S. (2005). Conditional Akaike information for mixed-effects models, Biometrika, 92, 351-370.
DOI
ScienceOn
|