A Multidimensional Goodness-of-Fit Test Based on Interpoint Distances

DOI10.2307/2965706zbMath0887.62046OpenAlexW4248515067MaRDI QIDQ4366235

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Publication date: 7 January 1998

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2965706

zbMATH Keywords

spacingsmultivariate normality\(U\) statisticgrowth rate of breast tumors

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Related Items (12)

Central limit theorems for \(k\)-nearest neighbour distances ⋮ Nonparametric Tests for Homogeneity of Species Assemblages: A Data Depth Approach ⋮ A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach ⋮ Statistical depth in abstract metric spaces ⋮ Статистические критерии равномерности распределения и независимости векторов, использующие попарные расстояния;Statistical tests for uniformity of distribution and independence of vectors based on pairwise distances ⋮ On the interpoint distances of Bernoulli vectors ⋮ Testing multivariate uniformity based on random geometric graphs ⋮ Depth functions as measures of representativeness ⋮ A generalized wilcoxon-mann-whitney statistic ⋮ A triangle test for equality of distribution functions in high dimensions ⋮ A new statistical depth function with applications to multimodal data ⋮ General notions of statistical depth function.

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