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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75983

    題名: Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
    作者: Lio, Y.L.;Tsai, Tzong-ru
    貢獻者: 淡江大學統計學系
    關鍵詞: first failure-censoring;Fisher information;parametric bootstrap;maximum-likelihood estimate;progressive type II censoring
    日期: 2012-02
    上傳時間: 2012-04-30 10:37:24 (UTC+8)
    出版者: Taylor & Francis
    摘要: Let X and Y have two-parameter Burr XII distributions. The maximum-likelihood estimator of δ=P(X<Y) is studied under the progressively first failure-censored samples. Three confidence intervals of δ are constructed by using an asymptotic distribution of the maximum-likelihood estimator of δ and two bootstrapping procedures, respectively. Some computational results from intensive simulations are presented. An illustrative example is provided to demonstrate the application of the proposed method.
    關聯: Journal of Applied Statistics 39(2), pp.309-322
    DOI: 10.1080/02664763.2011.586684
    顯示於類別:[統計學系暨研究所] 期刊論文


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