Variance Component Testing in Semiparametric Generalized Linear Mixed Model for Longitudinal Data

The assumption of homoscedasticity is commonly concerned in regression analysis. According to the Laplace spread theory, we study the variance component testing in discrete semiparametric generalized linear model with random effects for longitudinal data, and the score statistic is obtained. An example and some simulation studies are implenented to verify the efficiency of our method.