Edge count tests and constrained minimum distance perform well for detecting differences in categorical datasets, leading to recommendations of the Friedman-Rafsky test for two samples and the MMCM test for multiple samples.
skewed” alternatives but a low PESR for the “1 up, 1 down
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An Empirical Comparison of Methods for Quantifying the Similarity of Categorical Datasets
Edge count tests and constrained minimum distance perform well for detecting differences in categorical datasets, leading to recommendations of the Friedman-Rafsky test for two samples and the MMCM test for multiple samples.