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Nonparametric tests based on N-distances

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Abstract

This paper is devoted to goodness-of-fit and homogeneity tests based on N-distances. The work is a continuation of our research started in [2]. The power of the proposed criteria is compared with classical tests using Monte Carlo simulations. Different alternatives both in one-and multidimensional cases are investigated. Applications of N-distance statistics for testing hypotheses of symmetry (univariate case) and independence (bivariate case) are provided.

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  1. Institute of Mathematics and Informatics, Akademijos 4, LT-08663, Vilnius, Lithuania

    A. Bakshaev

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  1. A. Bakshaev
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Correspondence to A. Bakshaev.

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Bakshaev, A. Nonparametric tests based on N-distances. Lith Math J 48, 368–379 (2008). https://doi.org/10.1007/s10986-008-9028-2

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  • DOI: https://doi.org/10.1007/s10986-008-9028-2

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