statsmodels.stats.diagnostic.anderson_statistic#
- statsmodels.stats.diagnostic.anderson_statistic(x, dist='norm', fit=True, params=(), axis=0)[source]#
Calculate the Anderson-Darling a2 statistic
- Parameters:
- xarray_like
The data to test.
- dist{‘norm’,
callable},optional The assumed distribution under the null of test statistic.
- fitbool,
optional If True, then the distribution parameters are estimated. Currently only for 1d data x, except in case dist=’norm’.
- params
tuple,optional The optional distribution parameters if fit is False.
- axis
int,optional If dist is ‘norm’ or fit is False, then data can be an n-dimensional and axis specifies the axis of a variable.
- Returns: