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Exact Confidence Limits for the Parameter of an Exponential Distribution in the Accelerated Life Tests under Type-ⅠCensoring
作者姓名:De-qiang ZHENG  Xiang-zhong FANG
作者单位:School of Mathematical Sciences
基金项目:Supported in part by the National Natural Science Foundation of China(Grant No.11171007)。
摘    要:Life data frequently arise in many reliability studies,such as accelerated life tests studies.This paper considers the part of life data where failure and censoring observations may exist.To develop statistical methods and theory for the analysis of these data,a new approach was proposed to obtain the exact lower and upper confidence limits for the mean life of the exponential distribution with Type-I censoring data.It is assumed that the acceleration factor is a random variable,and that the distribution of the acceleration factor is known from some empirical information or the meta analysis.A method for constructing the lower and upper confidence limits for the parameter based on an ordering relation among the sample space was proposed.Simulation studies and analyses of two examples suggest that the proposed method performed well.

关 键 词:mean  life  confidence  limit  acceleration  factor  sample  space  ordering  relation

Exact Confidence Limits for the Parameter of an Exponential Distribution in the Accelerated Life Tests under Type-I Censoring
De-qiang ZHENG,Xiang-zhong FANG.Exact Confidence Limits for the Parameter of an Exponential Distribution in the Accelerated Life Tests under Type-I Censoring[J].Acta Mathematicae Applicatae Sinica,2021,37(2):393-408.
Authors:Zheng  De-qiang  Fang  Xiang-zhong
Institution:1.School of Mathematical Sciences, Peking University, Beijing, 100871, China
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Abstract:Acta Mathematicae Applicatae Sinica, English Series - Life data frequently arise in many reliability studies, such as accelerated life tests studies. This paper considers the part of life data...
Keywords:
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