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}

The assumed distribution under the null of test statistic.

fitbool

If True, then the distribution parameters are estimated. Currently only for 1d data x, except in case dist=’norm’.

paramstuple

The optional distribution parameters if fit is False.

axisint

If dist is ‘norm’ or fit is False, then data can be an n-dimensional and axis specifies the axis of a variable.

Returns:¶

{float, ndarray}

The Anderson-Darling statistic.