# 臺灣博碩士論文加值系統

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 AbstractIn this article, we consider fitting semiparametric linear model to survey data with censored observations. Based on the approaches of Chen et al. (2002), we propose design-based estimators for regression parameter. Furthermore, similar to the approach of Lin (2000), we regard the survey population as a random sample from an infinite universe and accounts for this randomness in the statistical inference. A simulation study is conducted to investigate the performance of the proposed estimators.
 Content1. Introduction………………………………………………………………………………………… 12. The Proposed Estimators…………………………………………………………… 22.1 Theorem 1……………………………………………………………………………………………… 53. Simulation Studies………………………………………………………………………… 73.1 Case1: Proportional odds model……………………………………… 73.2 Case2: Cox model…………………………………………………………………………… 8Table1………………………………………………………………………………………………………………… 9Table2………………………………………………………………………………………………………………… 9Table3………………………………………………………………………………………………………………… 104. Conclusion……………………………………………………………………………………………… 11References …………………………………………………………………………………………………… 11
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