An empirical study of tests for uniformity in multidimensional data
A test of uniformity determines if data is uniform or possesses underlying structure. Tests of uniformity should be the first step in any pattern or exploratory data analysis. We develop new tests of uniformity and compare with many in the literature. One test outperforms others when regularity (minimum spacings) exists in the data. Our other test is the only option for testing on arbitrary supports and dimensions.
spacings minimum spanning tree hamiltonian path discrepancies k k -function k k k k k