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dc.contributor.authorGuha, Apratim
dc.contributor.authorChothia, Tom
dc.date.accessioned2021-03-17T08:52:56Z
dc.date.available2021-03-17T08:52:56Z
dc.date.issued2014-06
dc.identifier.citationGuha, Apratim and Chothia, Tom. (2014). A two sample test based on mutual information. Calcutta Statistical Association Bulletin. 66(261-262), 39-54.en_US
dc.identifier.urihttp://hdl.handle.net/11718/23712
dc.description.abstractFor two independently drawn samples from continuous distributions, a permutation test based on the mutual information statistic is proposed for the null hypothesis that both the samples originate from the same population. It is demonstrated through simulation that this test is more powerful than the commonly used nonparametric tests in many situations. We also discuss the test in a real-life setup. Keywords and phrases: Nonparametric Test; Two-Sample Test; Information Theory; Permutation Test; Kernel Density Estimation.en_US
dc.language.isoenen_US
dc.publisherCalcutta Statistical Association Bulletinen_US
dc.subjectmutualen_US
dc.subjectcalcutta statisticalen_US
dc.subjectBulletinen_US
dc.titleA two sample test based on mutual informationen_US
dc.typeArticleen_US


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