Hmmm...i've never done that, sorry. My understanding is that beta, P[Type II error], is non-trivial. It is typical to start from the "alpha side" (to calibrate significance/confidence where the null is presumed true, then minimize for the other error); e.g., selecting 95% confidence VaR = 1 - 5% significance.
So,
Alpha; i.e., Prob[Type I]) or confidence = 1 - significance of test; and
Beta; i.e., Prob[Type II]) = 1 - power of test
but even given alpha of, e.g., 99%, i think getting the beta (prob of type II) is non trivial. I don't know ...
(I've got a couple of customers who know more about this, i think, maybe they will help)
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