Multivariate statistical simulation
Multivariate statistical simulation
A test for the two-sample problem based on empirical characteristic functions
Computational Statistics & Data Analysis
A statistical model of cluster stability
Pattern Recognition
Adaptive combination of dependent tests
Computational Statistics & Data Analysis
Tracing clusters in evolving graphs with node attributes
Proceedings of the 21st ACM international conference on Information and knowledge management
Matrix-Variate discriminative analysis, integrative hypothesis testing, and geno-pheno a5 analyzer
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Moving heaven and earth: distances between distributions
ACM SIGACT News
A nonparametric two-sample test applicable to high dimensional data
Journal of Multivariate Analysis
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In this paper we propose a new test for the multivariate two-sample problem. The test statistic is the difference of the sum of all the Euclidean interpoint distances between the random variables from the two different samples and one-half of the two corresponding sums of distances of the variables within the same sample. The asymptotic null distribution of the test statistic is derived using the projection method and shown to be the limit of the bootstrap distribution. A simulation study includes the comparison of univariate and multivariate normal distributions for location and dispersion alternatives. For normal location alternatives the new test is shown to have power similar to that of the t- and T2-Test.