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Aspects of Dependence in Generalized Farlie-Gumbel-Morgenstern Distributions
Authors:M Amini  H Jabbari  G R Mohtashami Borzadaran
Institution:1. Department of Statistics, Ordered and Spatial Data Center of Excellence , Ferdowsi University of Mashhad , Mashhad , Iran m-amini@um.ac.ir;3. Department of Statistics, Ordered and Spatial Data Center of Excellence , Ferdowsi University of Mashhad , Mashhad , Iran
Abstract:In this article, we obtained a dependence measure for generalized Farlie-Gumbel-Morgenstern (FGM) family in view of Kochar and Gupta (1987 Kochar , S. G. , Gupta , R. P. ( 1987 ). Competitors of Kendall-tau test for testing independence against PQD . Biometrika 74 ( 3 ): 664669 .Crossref], Web of Science ®] Google Scholar]) and then compared this measure with Spearman's rho and Kendall's tau in FGM family. Moreover, we evaluated the empirical power of the class of distribution-free tests proposed by Kochar and Gupta (1987 Kochar , S. G. , Gupta , R. P. ( 1987 ). Competitors of Kendall-tau test for testing independence against PQD . Biometrika 74 ( 3 ): 664669 .Crossref], Web of Science ®] Google Scholar], 1990 Kochar , S. G. , Gupta , R. P. ( 1990 ). Distribution-free tests based on sub-sample extrema for testing against positive dependence . Australian Journal of Statistics 32 : 4551 .Crossref] Google Scholar]) based on exact distribution of a U-statistics. This is derived via a simulation study for sample of sizes n = 6, 8, 10, 12, 16, and 20. Also, we compared our simulation results with those achieved by Amini et al. (2010 Amini , M. , Jabbari , H. , Mohtashami Borzadaran , G. R. , Azadbakhsh , M. ( 2010 ). Power comparison of independence test for the Farlie-Gumbel-Moregenstern family . Communications of the Korean Statistical Society 17 ( 4 ): 493505 .Crossref] Google Scholar]) and Güven and Kotz (2008 Güven , B. , Kotz , S. ( 2008 ). Test of independence for generalized Farlie-Gumbel-Morgenstern distributions . Journal of Computational and Applied Mathematics 212 : 102111 .Crossref], Web of Science ®] Google Scholar]).
Keywords:Copula functions  Farlie-Gumbel-Morgenstern family  Negative and positive quadrant dependence  U-statistics
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