Dear All,
I would like to ask for your help on the following when testing uniformity by
the KS test:
1. We know that the Kolmogorov test is based on the supremum D of the
difference between the empirical distribution and the uniform distribution
2. We also know that sqrt(n)D has a limiting distribution K, where n is the
sample size
2. However, when we use the R function "ks.test" to compute the p-value of
two-sided KS test, is D fed into K or sqrt(n)D fed into K?
Thank you for your time and effects into my question.
Che
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