Sammanfattning

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.

Nyckelord

Estimation methods; overdispersion; Poisson generalized linear mixed models; simulation study; statistical principles; sport injuries

Publicerad i

SORT
2015, Volym: 39, nummer: 2, sidor: 281-307
Utgivare: INST ESTADISTICA CATALUNYA-IDESCAT

UKÄ forskningsämne

Genetik och förädling


Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/71184