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chi2gof function combines bins even with EMin set to zero

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While running a chi-square test for certain data (with respect to the t-distribution) I set a certain number of bins as a standrd (5) and wanted to keep this despite low count in certain bins, which I did by setting EMin = 0 (as specified by the documentation). However even while doing this the function combines neighbouring bins from 5 to 2 (I assume due to the poor fit of the distribution to the data distibution).
This is what I wrote, given t a certain data set:
nparams = 0;
nbins = 5;
tdist = @(x) tpdf(x,n-2);
[H,p,stats] = chi2gof(t,'CDF',tdist,'nbins',nbins,'nparams',nparams,'emin',0);
disp([H p])
This returns:
chi2stat: 103.7404
df: 1
edges: [-4.0438 0.9718 2.2257]
O: [47 11]
E: [13.8933 44.1067]
where data is divided in 2 bins, despite the fact that I set nbins = 5 and emin = 0. Why does this happen? Can I change it to do it the way I want to? (I know this won't change the result, i.e. the null hypothesis is rejected at the given confidence level, but I still would want it to give the result I expect)

Answers (1)

Aditya Patil
Aditya Patil on 29 Mar 2021
I have brought this issue to the notice of concerned developers. It might be fixed in any of the upcoming releases.
  1 Comment
Roberto Gargiulo
Roberto Gargiulo on 29 Mar 2021
Thanks a lot! I'm still very much interested in a fix (I had to do it "by hand" in this case, but it takes more time and lines to write the necessary code).

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