Parameters Estimation Under Step-Stress Life Test Based on Censored Data From Generalized Exponential Model

被引：6

作者：

Ismail, Ali A. ^{[1
]}

Abu-Youssef, S. E. ^{[1
]}

机构：

[1] King Saud Univ, Coll Sci, Dept Stat & Operat Res, Riyadh 11451, Saudi Arabia

来源：

JOURNAL OF TESTING AND EVALUATION | 2012年 / 40卷 / 02期

关键词：

partial acceleration; generalized exponential distribution; maximum likelihood estimator; mean square error; time-censoring; Fisher information matrix; confidence interval; Newton-Raphson; likelihood ratio; Monte Carlo simulation; WEIBULL; GAMMA;

D O I：

10.1520/JTE103975

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

This paper presents estimates of the parameters under step-stress partially accelerated life testing in the presence of censored data from generalized exponential distribution. The maximum likelihood procedure is used to derive point and asymptotic confidence interval estimations of the unknown parameters. Also, confidence bounds based on the log likelihood ratio are explored. The performance of the estimators is investigated numerically for different parameter values and different sample sizes in terms of their mean square error. A simulation study is made for illustrative purposes.

引用

页码：305 / 309

页数：5

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