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Published in: Strength of Materials 1/2019

01-04-2019

Optimal Design of Failure-Censored Constant-Stress Life Test Plans for the Inverse Weibull Distribution

Authors: Ali A. Ismail, A. Al Tamimi

Published in: Strength of Materials | Issue 1/2019

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Abstract

This paper presents the optimal design of constant-stress partially accelerated life tests (CSPALT) using type-II censored data from the inverse Weibull distribution. The maximum likelihood approach is applied to estimate the distribution parameters and the corresponding factor. In addition, the corresponding confidence interval estimates are obtained. Moreover, optimal CSPALT plans are developed using the D-optimality criterion. That is, the proportion of test units that should be allocated to run under accelerated condition is optimally determined. This proportion is obtained such that the generalized asymptotic variance of the maximum likelihood estimators of the model parameters is minimized. To illustrate the theoretical results presented in this paper, simulation studies are conducted.

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Metadata
Title
Optimal Design of Failure-Censored Constant-Stress Life Test Plans for the Inverse Weibull Distribution
Authors
Ali A. Ismail
A. Al Tamimi
Publication date
01-04-2019
Publisher
Springer US
Published in
Strength of Materials / Issue 1/2019
Print ISSN: 0039-2316
Electronic ISSN: 1573-9325
DOI
https://doi.org/10.1007/s11223-019-00061-0

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