Robustness and monotonicity properties of generalized correlation coefficients

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Title:	Robustness and monotonicity properties of generalized correlation coefficients
Authors:	Chen, Vivian Yi-Ju;Chinchilli, Vernon M.;Richards, Donald St. P.
Contributors:	淡江大學統計學系
Keywords:	Clinical trials;Correlation coefficient;Cross-over design;Influence function;Robustness;Strictly sign regular kernel
Date:	2011-02
Issue Date:	2013-03-12 11:03:21 (UTC+8)
Publisher:	Amsterdam: Elsevier BV * North-Holland
Abstract:	A new class of generalized correlation coefficients that contains the Pearson and Kendall statistics as special cases was defined by Chinchilli et al. (2005) and applied to the estimation of correlations coefficients within the context of 2×2 cross-over designs for clinical trials. In this paper, we determine the infinitesimal robustness and local stability properties of these generalized correlation coefficients by deriving their corresponding influence functions. For cases in which the population distribution is a bivariate normal or a mixture of bivariate normal distributions we obtain explicit formulas, and establish monotonicity and sign-reverse rule properties of the generalized correlation coefficients.
Relation:	Journal of Statistical Planning and Inference 141(2), pp.924–936
DOI:	10.1016/j.jspi.2010.08.016
Appears in Collections:	[Graduate Institute & Department of Statistics] Journal Article

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