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On optimal two sample homogeneity tests for finite alphabets
2012 IEEE International Symposium on Information Theory Proceedings
Suppose we are given two independent strings of data from a known finite alphabet. We are interested in testing the null hypothesis that both the strings were drawn from the same distribution, assuming that the samples within each string are mutually independent. Among statisticians, the most popular solution for such a homogeneity test is the two sample chi-square test, primarily due to its ease of implementation and the fact that the limiting null hypothesis distribution of the associateddoi:10.1109/isit.2012.6283716 dblp:conf/isit/Unnikrishnan12 fatcat:pno5iuuf3fawpekphxqk5rmm6i