I would say that, for a uniform distribution, it seems like this has to be true. In fact, if it were not, the distribution is de-facto non-uniform.
On Thu, Jul 16, 2020 at 3:35 PM Brian Schott <[email protected]> wrote: > I don't believe OP is trying to conclude 2 distributions are different, but > that one is similar to another. > The way I learned such goodness of fit tests, the null hypothesis > always assumes equality. You do not have a choice on that. > There is a separate section in the wikipedia article which states how to > construct a confidence interval, but I cannot quite understand how to > apply it. > "Setting_confidence_limits_for_the_shape_of_a_distribution_function" > > On Thu, Jul 16, 2020 at 2:56 PM Raul Miller <[email protected]> wrote: > > > The distributions are not equal. > > > > The ?n$q distribution lacks any elements which exceed q (or are equal > > to q) while the ?m$p distribution would contain such values. > > > > Thanks, > > > > -- > > Raul > > > > > > > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm > -- Devon McCormick, CFA Quantitative Consultant ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
