Is it possible to test the equality of the coefficients from a model fit by
maximum likelihood run with all available observations and the same model
run with a subset of observations? Not the full against a composite set of
all observations; my understanding of the lr version of the Chow test is
that it needs to be run with a set of models that are in composite the same
dataset in total as the original model. What I am interested in is testing
whether coefficients from modeling a single subset are equivalent to
coefficients based on the full set of observations.
