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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/75983

    Title: Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
    Authors: Lio, Y.L.;Tsai, Tzong-ru
    Contributors: 淡江大學統計學系
    Keywords: first failure-censoring;Fisher information;parametric bootstrap;maximum-likelihood estimate;progressive type II censoring
    Date: 2011-06
    Issue Date: 2012-04-30 10:37:24 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: 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.
    Relation: Journal of Applied Statistics 39(2), p.309-322
    DOI: 10.1080/02664763.2011.586684
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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