A mutual information-based K-sample test for discrete distribution

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DC Field	Value	Language
dc.contributor.author	Drake, Robert
dc.contributor.author	Guha, Apratim
dc.date.accessioned	2015-05-11T09:51:12Z
dc.date.available	2015-05-11T09:51:12Z
dc.date.issued	2014
dc.identifier.citation	Drake, R., & Guha, A. (2014). A Mutual Information-Based k-Sample Test for Discrete Distributions. Journal Of Applied Statistics, 41(9-10), 2011-2027.	en_US
dc.identifier.issn	02664763
dc.identifier.uri	http://hdl.handle.net/11718/13484
dc.description.abstract	The two-sample problem and its extension to the k-sample problem are well known in the statistical literature. However, the discrete version of the k-sample problem is relatively less explored. Here in this work we suggest a k-sample non-parametric test procedure for discrete distributions based on mutual information. A detailed power study with comparison with other alternatives is provided. Finally, a comparison of some English soccer league teams based on their goal-scoring pattern is discussed.	en_US
dc.language.iso	en	en_US
dc.publisher	Journal of Applied Statistics	en_US
dc.subject	Statistics	en_US
dc.title	A mutual information-based K-sample test for discrete distribution	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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