Single Sample Kupier Goodness-Of-Fit Hypothesis Test. Similar to Kolmogorov-Smirnov (K-S) test, but (K-S) test tend to be most sensitive around median value of the distribution and less sensitive at the distribution tails.
Doesn't require any Toolbox.Find if the random sample X could have the hypothesized continuous cumulative distribution function F.
Null Hypothesis Ho: "The Sample is taken form a population with cumulative distribution F(x) for all x".
This is a 2-sided test. Alternative: "The population from which the sample is taken has a cumulative distribution different form F "
Can this be used for comparison of two samples (e.g. kstest2)? If not does anyone know of a function to do this?
Code looks correct and efficient. Although the english in the comments needs a bit of cleaning up, the whole file is well documented. As noted before the name of the test is Kuiper test, not Kupier.
It is Kuiper test, not Kupier.