Testing with Kernel-based Test Statistics Power Against Sequences of Local Alternatives
published: Feb. 25, 2008, recorded: December 2007, views: 3458
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Testing for homogeneity between two samples offers a natural quantitative framework to investigate how to compare two distributions from empirical data. We shall discuss some recently proposed nonparametric test statistics, whose common feature is to share a kernel-based formulation. In particular, we discuss their respective power against different classes of alternatives.
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