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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/24574


    Title: 在雙截資料下無母數與半參數之檢定
    Other Titles: Nonparametric and Semiparametric Tests with Doubly Truncated Data
    Authors: 沈葆聖
    Contributors: 東海大學統計學系
    行政院國家科學委員會
    Keywords: 追溯性取樣;雙截;半??模型;?族群檢定
    Retrospective sampling;Double truncated;Semiparametric model;Two-sample tests;
    Date: 2012
    Issue Date: 2014-03-07T07:36:43Z (UTC)
    Abstract: 在雙截資料下,我們提出一族的排序統計量為依據之兩族群檢定。我們考慮無母數以及半參數兩種方法。對於半參數方法,僅截取變數之分配給予假設。我們將建立兩種檢定之漸近分配並以模擬檢討有限樣本之表現。所提出之方法將應用在CDC AIDS 輸血資料上。
    A class of rank-based tests is proposed for the two-sample problem with doubly trun- cated data. We consider both nonparametric and semiparametric approaches, where the truncation distribution is parameterized, while the lifetime distribution is left unspeci ed. The asymptotic distribution theory of the test is presented. The small-sample performance of the test is investigated under a variety of situations by means of Monte Carlo simulations. The proposed tests are illustrated using the CDC AIDS Blood Transfusion Data.<>
    Relation: 計畫編號:NSC101-2118-M029-002
    研究期間:2012-08~ 2013-07
    Appears in Collections:[統計學系所] 國科會研究報告

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