Robert,
I may have misunderstood your original question
regarding the student's T distribution. I thought you were
asking for a way to generate random variates from the T, but
you may have been asking for a way to compute probabilities
from the student's T. If the latter was your question, I am
afraid that computing probabilities is much more difficult
and I have no thoughts about that.
OTOH if you are thinking about constructing
confidence intervals around sample means using the student
T, then you need random normal variates and a table lookup
of a student's T to build the interval(s) and it would be
easier to read in a table of student's T values or just the
ones you need for the sample sizes and levels of confidence
you are simulating.
On Tue, 12 Aug 2008, Robert Cyr wrote:
+ Bran Schott said:
+ T_k = Z/sqrt(U/k)
+
+ I have seen the usual formulas for building the distribution function,but
+ none like this one. It seems very interesting.
+
+ As for the cdf required for the usual confidence interval, accuracy comes
+ at a price. Perhaps less accurate but useful is a simple list of a few
+ dozen factors and a simple formula.
+
+ Robert Cyr
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