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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/8tanyv |
id |
ndltd-TW-097NCU05337003 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
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 |
work_keys_str_mv |
AT wenlingchen analysisofweibulldistributionsforpairedsurvivaldatathataresubjectedtorandomrightcensorship AT chénwénlíng analysisofweibulldistributionsforpairedsurvivaldatathataresubjectedtorandomrightcensorship AT wenlingchen yòushèxiànwéibóchéngduìcúnhuózīliàozhīfēnxī AT chénwénlíng yòushèxiànwéibóchéngduìcúnhuózīliàozhīfēnxī |
_version_ |
1719099623492026368 |