Comparing AIC for different closed population data types

questions concerning analysis/theory using program MARK

Comparing AIC for different closed population data types

Postby jlaufenb » Fri May 29, 2009 2:21 pm

I seem to recall that one can compare AIC scores across all Huggins closed population data types, even those with mixtures or mis-id parameterizations. However, I want to verify this and can't remember or find where I read/heard this. Can someone verify? I would like to avoid having to worry about constraining the "w/ het data type" design matrix to reflect non-mixture models by first, building a set of non-mixture models with Huggins closed data type, second, change data type to Huggins w/ het and build mixture models, and finally, compare all models with AIC. In addition, would there be an problem with model averaging real parameter estimates with this approach?

Thanks
Jared
jlaufenb
 
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