Help please..

I am facing a peculiar problem and hope someone out there
can comment on it.

In goodness-of-fit tests for evaluation of distributions,
there are three well-known methods:

	1. Chi-square
	2. Anderson-Darling
	3. Kolmogorov-Sminrov

I would suggest you find the likelihood or some modified version of it
(AIC). If the model describes data well, the likelihood is big. Of course
you don't get a p-value, which in my book is a good thing. (Read the
manifesto: AWF Edwards (1972/1992), Likelihood, Johns Hopkins U Press)

Bill

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