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05-12-2019

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

Authors: Ali A. Ismail, M. M. Al-Harbi

Published in: Strength of Materials | Issue 5/2019

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Abstract

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.

previous article On Suitability of the Averaged Strain Energy Density Criterion in Predicting Mixed Mode I/II Brittle Fracture of Blunt V-Notches with Negative Mode I Contributions

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Title: Statistical Inference of Constant-Stress Partially Accelerated Life Test Model Using Failure-Censored Data from the Linear Failure Rate Distribution
Authors: Ali A. Ismail
M. M. Al-Harbi
Publication date: 05-12-2019
Publisher: Springer US
Published in: Strength of Materials / Issue 5/2019
Print ISSN: 0039-2316
Electronic ISSN: 1573-9325
DOI: https://doi.org/10.1007/s11223-019-00127-z

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