ephens, M. A. (1977). Goodness of Fit with Special Reference
       to Tests for Exponentiality , Technical Report No. 262,
       Department of Statistics, Stanford University, Stanford, CA.
.. [6] Stephens, M. A. (1979). Tests of Fit for the Logistic Distribution
       Based on the Empirical Distribution Function, Biometrika, Vol. 66,
       pp. 591-595.
.. [7] Richard A. Lockhart and Michael A. Stephens "Estimation and Tests of
       Fit for the Three-Parameter Weibull Distribution"
       Journal of the Royal Statistical Society.Series B(Methodological)
       Vol. 56, No. 3 (1994), pp. 491-500, Table 0.

Examples
--------
Test the null hypothesis that a random sample was drawn from a normal
distribution (with unspecified mean and standard deviation).

>>> import numpy as np
>>> from scipy.stats import anderson
>>> rng = np.random.default_rng()
>>> data = rng.random(size=35)
>>> res = anderson(data)
>>> res.statistic
0.8398018749744764
>>> res.critical_values
array([0.527, 0.6  , 0.719, 0.839, 0.998])
>>> res.significance_level
array([15. , 10. ,  5. ,  2.5,  1. ])

The value of the statistic (barely) exceeds the critical value associated
with a significance level of 2.5%, so the null hypothesis may be rejected
at a significance level of 2.5%, but not at a significance level of 1%.

>