From checking the histogram of the distribution I had the intuition that the data could follow a Poisson or an exponential distribtuion.
However, Lilliefors test that the data is exponentially distributed can be rejected
lilliefors(log_filesImportedMining['files_imported'], dist='exp', pvalmethod='table') (0.35391091160912636, 0.0009999999999998899)
The same goes for the Kolmogorov-Smirnov (K-S) test, which strangely gives a p-value of literally 0.0.
kstest(list(log_filesImportedPredictive['files_imported']), 'poisson', args=(log_filesImportedPredictive.mean())) KstestResult(statistic=0.34115413210541, pvalue=0.0)
- Could it be that I made a mistake with the kstest, since the p-value is 0.0?
- Any other ideas what kind of distribution this could be?
- Any other methods to test?