stac.nonparametric_tests.quade_test

stac.nonparametric_tests.quade_test(*args)

Performs a Quade ranking test. Tests the hypothesis that in a set of k dependent samples groups (where k >= 2) at least two of the groups represent populations with different median values. The difference with a friedman test is that it uses the median for each sample to wiehgt the ranking.

Parameters:

sample1, sample2, ... : array_like

The sample measurements for each group.

Returns:

F-value : float

The computed F-value of the test.

p-value : float

The associated p-value from the F-distribution.

rankings : array_like

The ranking for each group.

pivots : array_like

The pivotal quantities for each group.

References

4. Quade, Using weighted rankings in the analysis of complete blocks with additive block effects, Journal of the American Statistical Association 74 (1979) 680–683.