How can I avoid the dreaded P=NaN when using chi2gof?

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I can test a column vector using chi2gof to determine the fit to a specific distribution and Matlab will return a P value of NaN. I can test the exact same data in Minitab and get a real result. I know the issue has to do with how Matlab determines the degrees of freedom and that number being too low. What I don't understand is how to work around this problem. Minitab clearly does.

Answers (1)

Nikhil Vyas
Nikhil Vyas on 10 May 2016

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