Non-Parametric Two-Sample Tests:Recent Developments and Prospects
The advancement of cutting-edge technology produces huge data sets.The current data boom not only poses a challenge to the traditional theory of statistical inference but also expands its scope.An important area of statistical inference research is difference analysis using various data types.The two-sample test is the primary tool for difference analysis,which has always been the focus and hot spot in the statistical community.However,previous research on the two-sample test has been focused on Euclidean data,whereas related studies on non-Euclidean data are still in their infancy.This study reviews some common characteristics of existing nonparametric two-sample tests.Then,based on this information,we create new two-sample nonparametric tests for data with more complex structures.In addition,the problems facing this field of study are discussed.
two-sample testrank testmaximum mean discrepancyenergy distanceball divergence
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