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 critical value the results are different.
I really need to use the critical value not the p-value.
Second, is it possible to test H_0: P(X<=y)-P(Z<=y)>=C, where C is a
constant and Z is normal? I mean is it possible to see if the maximum
distance between two cumulative distributions is _more than __a constant_?
Best,
Shima.
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