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.

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