Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles : a simulation study

Generalized linear mixed models are flexible tools for modeling non-normal data and are useful for accommodating overdispersion in Poisson regression models with random effects. Their main difficulty resides in the parameter estimation because there is no analytic solution for the maximization of the marginal likelihood. Many methods have been proposed for this purpose and many of them are implemented in software packages. The purpose of this study is to compare the performance of three different statistical principles - marginal likelihood, extended likelihood, Bayesian analysis-via simulation studies. Real data on contact wrestling are used for illustration.

Pro-premiär eller pro-president? : Om distinktionen mellan parlamentarism, presidentialism och semi-presidentialism

Propremiar or pro-president? On the distinction between parliamentarism, presitentialism and semi-presidentialism. From comparative research on the constitutional development in Central and Eastern Europe and also from the longstanding debate on whether parliamentarism or presidentialism best facilitates democracy, it is apparent that there has been and continues to be, a certain degree of confusion concerning the concepts of semi-presidentialism and presidentialism. Different scholars mean different things by the terms and therefore classify countries differently. In this article I argue that the conceptual dichotomy between pro-premiär (premier-presidentialism) and pro-president systems (presidentparliamentary systems) provide the best solution to several of the problems related to categorising constitutional types, most importantly perhaps to the presidential power dilemma. I, furthermore, employ these concepts on the post-communist constitutional systems and try to reveal patterns with regard to presidential power, geographical region and democratisation.