Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship

碩士 === 國立中央大學 === 統計研究所 === 97 === In this article, we are concerned with testing for the equality of the two marginal weibull distributions for paired survival data that are subjected to random right-censorship. Owen et al. (2000) and Caroni (2008) have discussed the tests when the paired data are...

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Main Authors: Wen-ling Chen, 陳紋玲
Other Authors: Yuh-ing Chen
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/8tanyv
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spelling ndltd-TW-097NCU053370032019-05-15T20:32:02Z http://ndltd.ncl.edu.tw/handle/8tanyv Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship 右設限韋伯成對存活資料之分析 Wen-ling Chen 陳紋玲 碩士 國立中央大學 統計研究所 97 In this article, we are concerned with testing for the equality of the two marginal weibull distributions for paired survival data that are subjected to random right-censorship. Owen et al. (2000) and Caroni (2008) have discussed the tests when the paired data are independently distributed to weibull distributions given the frailty parameter. This article constructs likelihood ratio tests based on the correlated paired data and the ratio of each pair, respectively, when bivariate weibull distributions are under consideration. The results of a simulation study are presented for the investigation of type I error rate and power of the proposed tests. Finally, the application of the tests is illustrated by using a real data set. Yuh-ing Chen 陳玉英 2009 學位論文 ; thesis 38 zh-TW
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description 碩士 === 國立中央大學 === 統計研究所 === 97 === In this article, we are concerned with testing for the equality of the two marginal weibull distributions for paired survival data that are subjected to random right-censorship. Owen et al. (2000) and Caroni (2008) have discussed the tests when the paired data are independently distributed to weibull distributions given the frailty parameter. This article constructs likelihood ratio tests based on the correlated paired data and the ratio of each pair, respectively, when bivariate weibull distributions are under consideration. The results of a simulation study are presented for the investigation of type I error rate and power of the proposed tests. Finally, the application of the tests is illustrated by using a real data set.
author2 Yuh-ing Chen
author_facet Yuh-ing Chen
Wen-ling Chen
陳紋玲
author Wen-ling Chen
陳紋玲
spellingShingle Wen-ling Chen
陳紋玲
Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship
author_sort Wen-ling Chen
title Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship
title_short Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship
title_full Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship
title_fullStr Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship
title_full_unstemmed Analysis of Weibull distributions for paired survival data that are subjected to random right-censorship
title_sort analysis of weibull distributions for paired survival data that are subjected to random right-censorship
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/8tanyv
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