Probbaility Plot Uniform Distribution

Hi guys!! i want to prove whether my test values behave like uniform distribution or not. Do you know if i can proove this with probplot? In documentation there are informations about normal etc. Or Is there another solution ?

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the cyclist
the cyclist 2015 年 11 月 13 日

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If you have the Statistics and Machine Learning Toolbox, I would use the Kolmogorov-Smirnov test to make this determination.
Here is an example of making a probability distribution object for the uniform distribution (in this case, in the domain [0 1], which is the default) and then testing some sample data:
x = rand(1000,1);
pd = makedist('uniform');
[h,p] = kstest(x,'cdf',pd);

2 件のコメント

Savannah Est
Savannah Est 2020 年 9 月 29 日
why use kstest as opposed to chi2gof?
the cyclist
the cyclist 2020 年 10 月 21 日
Sorry for the delayed response.
There are typically several tests one can use for this sort of thing. For me, the chi-square test usually springs to mind for categorical data, where the binning procedure is well suited.
This is not to say that it doesn't work here as well. I'm not a statistician, and can't really argue strongly one way or the other.

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