Probability density function fitting and hypothesis testing.
copied from cf-staging / distfitDistfit is a python package for probability density fitting across 89 univariate distributions to non-censored data by residual sum of squares (RSS), and hypothesis testing. Probability density fitting is the fitting of a probability distribution to a series of data concerning the repeated measurement of a variable phenomenon. Distfit scores each of the 89 different distributions for the fit with the empirical distribution and return the best scoring distribution.
