The Imputation Approach for Mean Residual Life Regression under Right Censored Data

碩士 === 國立中正大學 === 數學系統計科學研究所 === 103 === In this thesis, we consider the mean residual life regression for right censored data. We would like to compare the mean imputation approach and median imputation approach, and we present how to handle the tail problem. We propose an ap- proach to estimate th...

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Main Authors:	Tzu-Liang Lin, 林子良
Other Authors:	Jin-Jian Hsieh
Format:	Others
Language:	en_US
Published:	2015
Online Access:	http://ndltd.ncl.edu.tw/handle/83700484167214435360

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spelling	ndltd-TW-103CCU004770112016-07-02T04:21:20Z http://ndltd.ncl.edu.tw/handle/83700484167214435360 The Imputation Approach for Mean Residual Life Regression under Right Censored Data 利用差補方法分析右設限資料餘命迴歸模型 Tzu-Liang Lin 林子良碩士國立中正大學數學系統計科學研究所 103 In this thesis, we consider the mean residual life regression for right censored data. We would like to compare the mean imputation approach and median imputation approach, and we present how to handle the tail problem. We propose an ap- proach to estimate the regression parameter of the mean residual life regression model for right censored data by Maguluri and Zhang (1994). Then, we estimate the variance of the proposed estimator by the Jackknife method. We compare two imputation approaches with tail problem methods via simulation studies. Finally, we apply our proposed methods to analysis the ovarian cancer data provided by Spellman et al. (2011). Jin-Jian Hsieh 謝進見 2015 學位論文 ; thesis 28 en_US
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
description	碩士 === 國立中正大學 === 數學系統計科學研究所 === 103 === In this thesis, we consider the mean residual life regression for right censored data. We would like to compare the mean imputation approach and median imputation approach, and we present how to handle the tail problem. We propose an ap- proach to estimate the regression parameter of the mean residual life regression model for right censored data by Maguluri and Zhang (1994). Then, we estimate the variance of the proposed estimator by the Jackknife method. We compare two imputation approaches with tail problem methods via simulation studies. Finally, we apply our proposed methods to analysis the ovarian cancer data provided by Spellman et al. (2011).
author2	Jin-Jian Hsieh
author_facet	Jin-Jian Hsieh Tzu-Liang Lin 林子良
author	Tzu-Liang Lin 林子良
spellingShingle	Tzu-Liang Lin 林子良 The Imputation Approach for Mean Residual Life Regression under Right Censored Data
author_sort	Tzu-Liang Lin
title	The Imputation Approach for Mean Residual Life Regression under Right Censored Data
title_short	The Imputation Approach for Mean Residual Life Regression under Right Censored Data
title_full	The Imputation Approach for Mean Residual Life Regression under Right Censored Data
title_fullStr	The Imputation Approach for Mean Residual Life Regression under Right Censored Data
title_full_unstemmed	The Imputation Approach for Mean Residual Life Regression under Right Censored Data
title_sort	imputation approach for mean residual life regression under right censored data
publishDate	2015
url	http://ndltd.ncl.edu.tw/handle/83700484167214435360
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The Imputation Approach for Mean Residual Life Regression under Right Censored Data

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