?But forget S-W and all the others in the list I gave. You want to be sensitive to what Stephens (1974) calls "alternative A", so you should use Q = -2*sum{ln p}. Refer Q to the chi-square distribution with df = 2*(the # of p's). This is a one-tailed test: the p-value for Q is the area in the upper tail of the chi-square distribution. For the p's that you sent, (Q, p) = (174.954, .00731) for e*u and (254.377, . 870e-9) for u^2.?
OK, will do. I?ll compute these before I finish the ?4-ups?. (However, I?d still like to eventually finish the 4-ups as well because for subset=S, method=N, fold=a1, set=1, the plot for u*e not only hit me right between the eyes, but did so strongly I was almost knocked out.)
But one question.
For getting p?s back from the t-distribution via the GNU/GSL functions accessible from PERL, we wound up doing this:
