Hi again,
Before working on Heterogeneity models with mixture and ageclasses, I first wanted to make sure that the DM I make with Closed capture models and ageclass are correct. For models Mo, Mt and Mb I think constructing the DM is no problem, as designing them for a population in which I make no differentiation between ageclasses (i.e. 1 grand population), the AICc values and deviances overlap nicely.
However, there is a slight problem, because when I split my population into ageclasses, there is a (miniature) difference between either the deviances and/or the AICc values, and I wonder whether or not this difference is "significant"?
edit: I see this picture is too long. As clarification:
deviance of {N, p(t) = c(t)} - PIM = 227, and the number of parameters is 29.
deviance of {N, p(t) = c(t)} - DM = 258, and the number of parameters is 14.
For the model {N, p(t) = c(t)} the AICc values do not differ so much, but deviance and # of parameters differs a lot. Below I have uploaded the pictures from my DM and PIM, I hope somebody can tell me what I have done wrong!
PIM:
DM:
Sorry for asking these questions and in this format, but I feel as though this forum is the only place I can ask questions regarding these issues. I've read the bible countless times, but I can't for the life of me understand why these models are not equal in AIC value/deviance, and I believe I have to understand this before moving on to Mh models and Heterogeneity models/mixturse.
Thanks in advance,
Tim