I have a set of observations obs
.
If I plot the histogram of the observation I see that they could come from a gamma distribution
[counts,x] = hist(obs,[1:max(obs)]);
I would like to prove it using chi square goodness of fit.
So I first estimate the gamma parameters
paramEsts = fitdist(obs,'Gamma');
and the use chi2gof to see if the hypotesis is true (h=0).
[h,p] = chi2gof(obs,'CDF',paramEsts)
My problem is that I get a p = NaN...how is it possible? Where is my mistake? Thanks
to test it please download the obs.mat file https://drive.google.com/file/d/0B3vXKJ_zYaCJbHU2SHhac29MRms/view?usp=sharing