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Original Articles

A triangle test for equality of distribution functions in high dimensions

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Pages 605-615 | Received 20 Jul 2009, Accepted 10 Apr 2010, Published online: 05 Jul 2010

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Marco Marozzi, Amitava Mukherjee & Jan Kalina. (2020) Interpoint distance tests for high-dimensional comparison studies. Journal of Applied Statistics 47:4, pages 653-665.
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Yu Song & Reza Modarres. (2019) Unified multivariate hypergeometric interpoint distances. Statistics 53:4, pages 921-942.
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Reza Modarres. (2012) Testing the Equality and Exchangeability of Bivariate Distributions. Communications in Statistics - Theory and Methods 41:20, pages 3750-3758.
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Reza Modarres. (2020) Graphical Comparison of High‐Dimensional Distributions. International Statistical Review 88:3, pages 698-714.
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Soham Sarkar & Anil K. Ghosh. (2018) On some high-dimensional two-sample tests based on averages of inter-point distances. Stat 7:1, pages e187.
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Adam Petrie. (2016) Graph-theoretic multisample tests of equality in distribution for high dimensional data. Computational Statistics & Data Analysis 96, pages 145-158.
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Zhi Liu, Xiaochao Xia & Wang Zhou. (2015) A test for equality of two distributions via jackknife empirical likelihood and characteristic functions. Computational Statistics & Data Analysis 92, pages 97-114.
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Pronoy K. Mondal, Munmun Biswas & Anil K. Ghosh. (2015) On high dimensional two-sample tests based on nearest neighbors. Journal of Multivariate Analysis 141, pages 168-178.
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M. Biswas, M. Mukhopadhyay & A. K. Ghosh. (2014) A distribution-free two-sample run test applicable to high-dimensional data. Biometrika 101:4, pages 913-926.
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Munmun Biswas & Anil K. Ghosh. (2014) A nonparametric two-sample test applicable to high dimensional data. Journal of Multivariate Analysis 123, pages 160-171.
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