Hi. Le jeu. 16 sept. 2021 à 15:00, Alex Herbert <alex.d.herb...@gmail.com> a écrit : > > On Thu, 16 Sept 2021 at 12:06, Gilles Sadowski <gillese...@gmail.com> wrote: > <!-- SNIP --> > > > > I was seeing this as a "visual" validation test, so making it as > > simple as possible (perhaps even with "interesting" values being > > hard-coded). > > I had thought of this as simple is best. However it should not be too > hard to create an application that outputs the PDF, CDF, etc for any > parameterisation. My idea would be to generate output over a range of > parameterisations and then check them against a reference. For example > the PDF and CDF plots for the parameterisations shown on wikipedia: > > https://en.wikipedia.org/wiki/Gamma_distribution > https://en.wikipedia.org/wiki/L%C3%A9vy_distribution > https://en.wikipedia.org/wiki/Poisson_distribution > > etc. > > Using just 1 set of hard coded values may not spot a problem.
I did not mean that; but rather take (all) the values used in the plots from the above references in order to reproduce them. > Suitable defaults can be coded into the program for each distribution. > These can then be varied by command line arguments. > > Note that you cannot output the inverse CDF with the same input x > range as the PDF, CDF and Survival functions since it is bounded to > [0, 1]. This was one reason for parameterising the values. > > I am looking into making the application at the moment. I am not going > to waste time over engineering this but I would like to have something > that can test the distributions with a range of values so we can > visually check them before the release. That was the intention. Thanks, Gilles --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
