I have some data that I have to test to see if it comes from a Weibull distribution with unknown parameters. In R I could use https://cran.r-project.org/web/packages/KScorrect/index.html but I can't find anything in Python.
Using scipy.stats I can fit parameters with:
scipy.stats.weibull_min.fit(values)
However in order to turn this into a test I think I need to perform some Monte-Carlo simulation. I am not sure what to do exactly.
How can I make such a test in Python?
from Goodness of fit test for Weibull distribution in python
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