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Journal of Nonparametric Statistics Volume 13, 2001 - Issue 5
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Original Articles

A multivariate nonparametric test of independence among many vectors

Yonghwan Um Department of Computer Science and Statistics, Sungkyul University, Anyang, Kyunggi-Do, 430-742, Korea
&
Ronald H. Randles Department of Statistics, University of Florida, Gainesville, FL, 32611
Pages 699-708 | Received 31 Aug 2000, Published online: 12 Apr 2007

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Yin Xia, Tianxi Cai & T. Tony Cai. (2018) Multiple Testing of Submatrices of a Precision Matrix With Applications to Identification of Between Pathway Interactions. Journal of the American Statistical Association 113:521, pages 328-339.
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Articles from other publishers (4)

Angshuman Roy, Anil K. Ghosh, Alok Goswami & C. A. Murthy. (2020) Some New Copula Based Distribution-free Tests of Independence among Several Random Variables. Sankhya A 84:2, pages 556-596.
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Jean-François Quessy. (2010) Applications and asymptotic power of marginal-free tests of stochastic vectorial independence. Journal of Statistical Planning and Inference 140:11, pages 3058-3075.
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R. Beran, M. Bilodeau & P. Lafaye de Micheaux. (2007) Nonparametric tests of independence between random vectors. Journal of Multivariate Analysis 98:9, pages 1805-1824.
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Nail K. Bakirov, Maria L. Rizzo & Gábor J. Székely. (2006) A multivariate nonparametric test of independence. Journal of Multivariate Analysis 97:8, pages 1742-1756.
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