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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27975


    Title: A class of efficient non-parametric K-sample tests for multivariate counting processes with frailties
    Authors: Chang,IS;Chen,LR;Hsiung,CA
    Contributors: 數學研究所
    Keywords: SURVIVAL-DATA;RANK-TESTS;MODELS
    Date: 1998
    Issue Date: 2010-06-29 19:39:17 (UTC+8)
    Publisher: 中央大學
    Abstract: A K-sample testing problem is studied for multivariate counting professes with time-dependent frailty. Asymptotic distributions and efficiency of a class of non-parametric test statistics are established for certain local alternatives. The concept of efficiency is to show that for every non-parametric test in this class, there is a parametric submodel for which the optimal test has the same asymptotic power as the non-parametric one. The theory is applied to analyse a diabetic retinopathy study data set. A simulation study is also presented to illustrate the theory.
    Relation: SCANDINAVIAN JOURNAL OF STATISTICS
    Appears in Collections:[數學研究所] 期刊論文

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