A Note on the Identifiability of Generalized Linear Mixed Models

TY - UNPB

T1 - A Note on the Identifiability of Generalized Linear Mixed Models

AU - Labouriau, Rodrigo

PY - 2014/5/4

Y1 - 2014/5/4

N2 - I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable. The proof is based on the assumptions of generalized linear mixed models on the first and second order moments and some general mild regularity conditions, and, therefore, is extensible to quasi-likelihood based generalized linear models. In particular, binomial and Poisson mixed models with dispersion parameter are identifiable when equipped with the standard parametrization

AB - I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable. The proof is based on the assumptions of generalized linear mixed models on the first and second order moments and some general mild regularity conditions, and, therefore, is extensible to quasi-likelihood based generalized linear models. In particular, binomial and Poisson mixed models with dispersion parameter are identifiable when equipped with the standard parametrization

M3 - Preprint

BT - A Note on the Identifiability of Generalized Linear Mixed Models

PB - ArXiv

ER -