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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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/83700484167214435360 |
| Summary: | 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).
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