Before revision:  We show that some, but not all, GLMs can still deliver consistent , uniquely-identified maximum likelihood estimates of at least some of the linear parameters at the boundary of the parameter space when these conditions fail to hold.
After revision:  We show that some, but not all, GLMs can still deliver consistent , uniquely-identified maximum likelihood estimates of at least some of the linear parameters when these conditions fail to hold.