Optimum Constant-Stress Partially Accelerated Life Test Plans Using Type-I Censored Data from the Inverse Weibull Distribution

被引：0
|
作者：
Ali A. Ismail
A. Al Tamimi
机构：
[1] Cairo University,
[2] Faculty of Economics & Political Science,undefined
[3] Department of Statistics,undefined
[4] Prince Sattam Bin Abdulaziz University,undefined
[5] College of Science and Humanities Studies,undefined
来源：
Strength of Materials | 2017年 / 49卷
关键词：
reliability; inverse Weibull distribution; constant stress; Fisher information matrix; generalized asymptotic variance; optimum test plans;
D O I：
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中图分类号：
学科分类号：
摘要：
In this paper, a constant stress partially accelerated life test (CSPALT) model is presented and analyzed using type-I censored data from the inverse Weibull distribution. The maximum likelihood estimates (point and interval) of the distribution parameters and the acceleration factor are obtained. CSPALT plans are developed. The proportion of test units that should be allocated to run under accelerated condition is optimally determined. To demonstrate the theoretical results, simulation studies are made.
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页码：847 / 855
页数：8
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