neurom.stats.optimal_distribution¶
-
neurom.stats.
optimal_distribution
(data, distr_to_check=('norm', 'expon', 'uniform'))[source]¶ - Calculate the parameters of a fit of different distributions to a data set
- and returns the distribution of the minimal ks-distance.
Parameters: data – array of data points to be fitted - Options:
- distr_to_check: tuple of distributions to be checked
Returns: FitResults object with fitted parameters, errors and distrubution type of the fit with the smallest fit distance Note
Uses Kolmogorov-Smirnov test to estimate distance and p-value.