Inference on constant stress accelerated life tests for log-location-scale lifetime distributions with Type-I hybrid censoring
學年 107
學期 1
出版（發表）日期 2019-01-28
作品名稱 Inference on constant stress accelerated life tests for log-location-scale lifetime distributions with Type-I hybrid censoring
作品名稱（其他語言）
著者 Chien-Tai Lin; Yao-Yu Hsu; Siao-Yu Lee; N. Balakrishnan
單位
出版者
著錄名稱、卷期、頁數 Journal of Statistical Computation and Simulation 89(4), p.720-749
摘要 In this paper, we consider a constant stress accelerated life test terminated by a hybrid Type-I censoring at the first stress level. The model is based on a general log-location-scale lifetime distribution with mean life being a linear function of stress and with constant scale. We obtain the maximum likelihood estimators (MLE) and the approximate maximum likelihood estimators (AMLE) of the model parameters. Approximate confidence intervals, likelihood ratio tests and two bootstrap methods are used to construct confidence intervals for the unknown parameters of the Weibull and lognormal distributions using the MLEs. Finally, a simulation study and two illustrative examples are provided to demonstrate the performance of the developed inferential methods.
關鍵字 Approximate maximum likelihood estimation;bootstrap;expected Fisher information matrix;log-linear scale stress relationship;maximum likelihood estimation
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Chien-Tai Lin
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116070 )