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

2 次查看（过去 30 天）

显示更早的评论

Homer Phillips 2016-5-5

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/282708-how-can-i-avoid-the-dreaded-p-nan-when-using-chi2gof

回答： Nikhil Vyas 2016-5-10

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.

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Nikhil Vyas 2016-5-10

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/282708-how-can-i-avoid-the-dreaded-p-nan-when-using-chi2gof#answer_221577

This answer might help you:

http://www.mathworks.com/matlabcentral/answers/55082-chi-square-test-with-2-bins-why-do-i-get-p-nan#answer_66878

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

类别

AI and Statistics Statistics and Machine Learning Toolbox Probability Distributions Multivariate Distributions

在 Help Center 和 File Exchange 中查找有关 Multivariate Distributions 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by