sorry, so obviously you want smaller residuals...but is this how we should
think about fit? so if the residuals are smaller with one model
specification (say 10 explanatory variables) does that make it automatically
better than the one with 12 explanatory variables? what are other
diagnostics that we can run (on negative binomial models or in general that
work for all types) to check to see what specification is actually "better"?