Anderson Darling Normality Test Python. In its basic form the test. The Anderson Darling tests whether the sample from the population follows a particular distribution.
The Anderson-Darling test Stephens 1974 is used to test if a sample of data came from a population with a specific distribution. This test is most commonly used to determine whether or not your data follow a normal distribution. The test is a modified version of a more sophisticated nonparametric goodness-of-fit statistical test called the Kolmogorov-Smirnov test.
The anderson SciPy function implements the Anderson-Darling test.
The Anderson Darling tests whether the sample from the population follows a particular distribution. For the Anderson-Darling test the critical values depend on which distribution is being tested against. It takes as parameters the data sample and the name of the distribution to test it against. Feb 18 2021 The Anderson-Darling test for k-samples.
