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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75092

    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:[統計學系暨研究所] 期刊論文

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