More on Model Building and Selection (Observation and process error; simulation testing and diagnostics). Fish 458, Lecture 15. Observation and Process Error. Reminder:
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Fish 458, Lecture 15
Note that we can’t compare these models because the likelihood functions are different
So what can we
say about these
The residuals about the fit of the process error estimator seem more correlated. Formally, a runs test could be conducted.
Perhaps plot the residuals against the predicted values; look for a lack of normality
We re-run the analysis leaving the last few CPUE data points out of the analysis – seems to be a pattern here!
Analyses along these lines could have saved northern cod!
Bias - average error