学位论文详细信息
| Accelerated Life Testing Data Analysis using Linear Mixed-effects Model | |
| Repeated measurement experiment;Linear mixed-effects model;Heavy-tailed linear mixed-effects model;Reliability analysis;반복측정실험;선형혼합모형;두꺼운 꼬리를 가지는 선형혼합모형;신뢰성분석;519 | |
| 자연과학대학 통계학과 ; | |
| University:서울대학교 대학원 | |
| 关键词: Repeated measurement experiment; Linear mixed-effects model; Heavy-tailed linear mixed-effects model; Reliability analysis; 반복측정실험; 선형혼합모형; 두꺼운 꼬리를 가지는 선형혼합모형; 신뢰성분석; 519; | |
| Others : http://s-space.snu.ac.kr/bitstream/10371/131284/1/000000021012.pdf | |
| 美国|英语 | |
| 来源: Seoul National University Open Repository | |
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【 摘 要 】
In repeated measurement experiment, normal linear mixed-effects model is widely used to analysis data. However, in case of detecting heteroscedasticity and the non-normality of the population distribution at the same time, normal linear mixed-effects model can give improper result of analysis. To achieve more robust estimation, we used heavy-tailed linear mixed-effects model which gives more exact and reliable analysis conclusion than standard normal linear mixed-effects model. Furthermore, we will provide the results of reliability analysis as the further work.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Accelerated Life Testing Data Analysis using Linear Mixed-effects Model | 540KB |
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