Help with Huggins Models!

[Puig]

Hi!

I was wondering If someone can help me with some doubts that I have between Huggins models. Which are the differences between the Huggins heterogeneity and full heterogeneity model. Also can someone please explain me what is the finite mixture in a Huggins model?

Thanks

Puig

[Bryan Hamilton]

I'm pretty new to MARK and population modeling so if anyone has a better explanation feel free to correct me...

The big difference between the Huggins models and other closed capture models is that the Huggins models incorporate indidual covariates. With the Huggins models N is a derived variable.

Finite mixtures allow variation (heterogeneity) in capture and recapture probabilities by group. Sparse data sets usually cannot support mixtures and even robust datasets support at best two mixtures ("groups").

A more thorough explanation of closed capture models can be found in Handbook of Capture-Recapture Analysis (Armstrup et al editors) and in Program MARK handbook.