Design matrix and individual covariates

[nesmonde]

In Chapter 11.8.2 Model averaging with environmental covariates there is an example data set for estimating encounter probability with sex and number of hours of observation



For the past day or two I've been trying to create the last model Phi(t)p(SEX+HOUR+SEX*HOUR) in the design matrix



however the AIC I get is a little higher than the one in the chapter. Could anyone help me resolve this?

Many thanks.

[cooch]

In Chapter 11.8.2 Model averaging with environmental covariates there is an example data set for estimating encounter probability with sex and number of hours of observation . For the past day or two I've been trying to create the last model Phi(t)p(SEX+HOUR+SEX*HOUR) in the design matrix however the AIC I get is a little higher than the one in the chapter. Could anyone help me resolve this?

Many thanks.

Sure, because your attempted DM isn't even close to correct. Should look something like the following (if you can't see the whole image, right-click the image an open in a new tab - might help). If you don't know why *your* attempted DM is incorrect (whereas the one below is), I'd suggest reviewing Chapter 6, and then the first sections of chapter 11).

[nesmonde]

Ahh ok, I see where I have gone wrong. Thank you very much for your help.
One more query - Phi 6 does not have an interval marked with 1... is that because it is confounded with the first encounter parameter?

[cooch]

Ahh ok, I see where I have gone wrong. Thank you very much for your help.
One more query - Phi 6 does not have an interval marked with 1... is that because it is confounded with the first encounter parameter?

No - it has nothing to do with confounding. The DM for phi is using offset (reference-cell) coding, and the lack of a '1' for the final time interval indicates that interval 6 will be the reference (intercept), and that each individual non-intercept beta is an 'offset' relative to this intercept.

Based on your question, you *really* need to read/study chapter 6, before you do anything else.

[nesmonde]

Thank you. Yes I think I even need to go back to school haha!