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We study the limiting behavior of sums of functions of nearest neighbor distances for an m dimensional sample. We establish a central limit theorem and moment bounds for such sums and an invariance principle for the empirical process of nearest neighbor distances. As a consequence we obtain the asymptotic behavior of a practicable goodness of fit test based on nearest neighbor distances.
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Bickel et al. (1983) studied this question.