Statistical Inference of Constant-Stress Partially Accelerated Life Test Model Using Failure-Censored Data from the Linear Failure Rate Distribution

被引：0

作者：

Ali A. Ismail

M. M. Al-Harbi

机构：

[1] Cairo University,

[2] Faculty of Economics & Political Science,undefined

[3] Department of Statistics,undefined

[4] Qassim University,undefined

[5] College of Science and Arts,undefined

[6] Department of Mathematics,undefined

来源：

Strength of Materials | 2019年 / 51卷

关键词：

reliability; partial acceleration; constant-stress; linear failure rate distribution; maximum likelihood; mean squared errors; type-II censoring;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this article, the case of failure-censored constant-stress partially accelerated life test for highly reliable materials or devices assuming the linear failure rate distribution is considered. The maximum likelihood estimates of the distribution parameters and the acceleration factor are obtained. In order to evaluate the performance, the mean squared errors are calculated using different sizes of samples. In addition, the approximate confidence intervals of model parameters are constructed. For illustrative purposes, Monte Carlo simulation studies are offered.

引用

页码：786 / 792

页数：6

共 21 条

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Ismail AA(2017)Planning step-stress life tests for the generalized Rayleigh distribution under progressive type-II censoring with binomial removals Strength Mater. 49 292-306

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Ismail AA(2018)Optimum plans of step-stress life tests using failure-censored data form Burr type-XII distribution Strength Mater. 50 674-685

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