2

I have a question, for my bachelor's thesis I wrote a program that classifies what kind of distribution a QQ resembles most, I trained the model using synthetic data: I created the QQ plots by using the built in functions in R e.g. qqnorm(rnorm(100)) etc. I would like to test the model using real world data in order to do this I have to know what the hypothesized distribution of the data is and label the QQ plots accordingly. I am looking for datasets that may have the following distributions: normal, student t, gamma, chisq, uniform, poisson, binomial.

If you think that there's a different way to evaluate my model please let me now!

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.