statsmodels.stats.diagnostic.normal_ad

statsmodels.stats.diagnostic.normal_ad(x, axis=0)[source]

Anderson-Darling test for normal distribution unknown mean and variance.

Parameters:
xarray_like

The data array.

axisint

The axis to perform the test along.

Returns:
ad2float

Anderson Darling test statistic.

pvalfloat

The pvalue for hypothesis that the data comes from a normal distribution with unknown mean and variance.

See also

statsmodels.stats.diagnostic.anderson_statistic

The Anderson-Darling a2 statistic.

statsmodels.stats.diagnostic.kstest_fit

Kolmogorov-Smirnov test with estimated parameters for Normal or Exponential distributions.


Last update: Jul 16, 2024