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:

x (array_like) – The data array.
axis (int) – The axis to perform the test along.

Returns:

ad2 (float) – Anderson Darling test statistic.
pval (float) – 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.