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Probbaility Plot Uniform Distribution

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cemsi888
cemsi888 am 13 Nov. 2015
Kommentiert: the cyclist am 21 Okt. 2020
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 am 13 Nov. 2015
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 Kommentare
Savannah Est
Savannah Est am 29 Sep. 2020
why use kstest as opposed to chi2gof?
the cyclist
the cyclist am 21 Okt. 2020
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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