A new multivariat two-sample test using regular minimum-weight spanning subgraphs

DOI10.1186/S40488-014-0022-4zbMath1357.62195OpenAlexW2168865444WikidataQ59400514 ScholiaQ59400514MaRDI QIDQ499774

David M. Ruth

Publication date: 6 October 2015

Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s40488-014-0022-4

zbMATH Keywords

distribution-free testchange pointgraph-theoretic procedure

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Applications of graph theory (05C90) Paired and multiple comparisons; multiple testing (62J15)

Cites Work

• Unnamed Item
• A multivariate two-sample test based on the number of nearest neighbor type coincidences
• Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
• Reducing multidimensional two-sample data to one-dimensional interpoint comparisons
• Nonparametric Tests for Homogeneity Based on Non-Bipartite Matching
• Multivariate Two-Sample Tests Based on Nearest Neighbors
• Permutation tests for equality of distributions in high-dimensional settings
• An Exact Distribution-Free Test Comparing Two Multivariate Distributions based on Adjacency
• Sufficient conditions for matchings

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