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    政大機構典藏 > 理學院 > 應用數學系 > 學位論文 >  Item 140.119/36397
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/36397


    Title: A comparison between quasi-Bayes method and Gibbs sampler on the problem with censored data
    Authors: 柯力文
    Ko, Li-wen
    Contributors: 姜志銘
    Jiang,Thomsa J.
    柯力文
    Ko, Li-wen
    Keywords: quasi-Bayes
    Gibbs
    censored data
    Date: 2002
    Issue Date: 2009-09-18 18:28:34 (UTC+8)
    Abstract: 以貝氏方法來處理部分區分(partially-classified)或是失去部分訊息資料的類別抽樣(categorical sampling with censored data),大部分建立在「誠實回答」(truthful reporting)以及「無價值性失去部分訊息」(non-informative censoring)的前提下。Dr.Jiang(1995)取消以上兩個限制,提出quasi-Bayes method來近似這類問題的貝氏解。另外我們也嘗試利用Gelfand and Smith(1990)針對Gibbs sampler所提出的收斂方法來估計。本文重點在比較此兩種方法的估計值準確性,並考慮先驗參數(prior)對估計精準的影響。
    Description: 碩士
    國立政治大學
    應用數學研究所
    90751004
    91
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0090751004
    Data Type: thesis
    Appears in Collections:[應用數學系] 學位論文

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