Fitting animal survival models with temporal random effects

摘要: Estimating temporal variance in animal demographic parameters is of particular importance population biology. We implement the Schall’s algorithm for incorporating random effects survival models using recovery data. Our frequentist approach based on a formulation band-recovery with as generalized linear mixed and linearization link function conditional effects. A simulation study shows that our procedure provides unbiased precise estimates. The method then implemented two case studies data fish birds.