The estimation method for clustered failure time data
碩士 === 國立臺北大學 === 統計學系 === 106 === Joint likelihood estimation and pairwise likelihood estimation for clustered data in multivariate failure time (MVFT) are evaluated, and data are assumed to have a characteristic of competing risks. This study will consider two or three observations per cluster and...
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ndltd-TW-106NTPU03370092019-05-16T00:37:29Z http://ndltd.ncl.edu.tw/handle/nez45q The estimation method for clustered failure time data 群聚型存活資料的估計方法 YANG,MIN-JU 楊閔茹 碩士 國立臺北大學 統計學系 106 Joint likelihood estimation and pairwise likelihood estimation for clustered data in multivariate failure time (MVFT) are evaluated, and data are assumed to have a characteristic of competing risks. This study will consider two or three observations per cluster and use Weibull distribution as the marginal distribution and different Copula to construct a joint survival distribution. Using statistical software to simulate data, parameter estimation is performed. The main estimated parameters are the parameters in the marginal distribution and the dependence parameter in the Copula. The simulation results of the joint likelihood estimation are well, and they have good performance on the evaluation index; the pairwise likelihood estimation is not stable enough, and only meets the evaluation criteria in some cases. HUANG, CHIA-HUI 黃佳慧 2018 學位論文 ; thesis 34 zh-TW |
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碩士 === 國立臺北大學 === 統計學系 === 106 === Joint likelihood estimation and pairwise likelihood estimation for clustered data in multivariate failure time (MVFT) are evaluated, and data are assumed to have a characteristic of competing risks. This study will consider two or three observations per cluster and use Weibull distribution as the marginal distribution and different Copula to construct a joint survival distribution. Using statistical software to simulate data, parameter estimation is performed. The main estimated parameters are the parameters in the marginal distribution and the dependence parameter in the Copula. The simulation results of the joint likelihood estimation are well, and they have good performance on the evaluation index; the pairwise likelihood estimation is not stable enough, and only meets the evaluation criteria in some cases.
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HUANG, CHIA-HUI |
author_facet |
HUANG, CHIA-HUI YANG,MIN-JU 楊閔茹 |
author |
YANG,MIN-JU 楊閔茹 |
spellingShingle |
YANG,MIN-JU 楊閔茹 The estimation method for clustered failure time data |
author_sort |
YANG,MIN-JU |
title |
The estimation method for clustered failure time data |
title_short |
The estimation method for clustered failure time data |
title_full |
The estimation method for clustered failure time data |
title_fullStr |
The estimation method for clustered failure time data |
title_full_unstemmed |
The estimation method for clustered failure time data |
title_sort |
estimation method for clustered failure time data |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/nez45q |
work_keys_str_mv |
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