I think both of your questions can be answered using simulations.
If you simulate a bunch of datasets where the null hypothesis is true
(data comes from the candidate distribution or 2 sets come from the
same distribution) and compute the KS statistic for each (you can use
the ks.test function to
Hello,
I have two questions about one sided ks.test.
First, is there any function in R to find _the critical value_ for this
test? I looked at the "Z. W. Birnbaum and Fred H. Tingey (1951) paper"
and I found the formula "sqrt(-1/(2n)log(/a/))" but when I use the
p-value from ks.test and this cr
2 matches
Mail list logo
