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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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