Statistical Inference for Bivariate Survival Data Based on
碩士 === 國立交通大學 === 統計學研究所 === 95 === The thesis considers semi-parametric inference based on Copula models for bivariate survival data subject to right censoring. There exist several semi-parametric inference approaches to estimating the association parameter. We examine and compare three approaches...
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| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/85460855612746920449 |
| Summary: | 碩士 === 國立交通大學 === 統計學研究所 === 95 === The thesis considers semi-parametric inference based on Copula models for bivariate survival data subject to right censoring. There exist several semi-parametric inference approaches to estimating the association parameter. We examine and compare three approaches developed for homogeneous data in absence of covariates. Then we extend these methods to a regression setting that accounts for marginal heterogeneity explained by the covariates. Finite-sample performances are examined by simulations.
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