Optimal design of multiple constant-stress accelerated life testing for the extension of the exponential distribution under type-II censoring

In this paper, we consider the optimal allocation problem in multiple stress testing with type-II censored data. The failure times of the individual are assumed to be independent and follow an extension of the exponential distribution. The exact and asymptotic optimal allocations for small and large...

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Bibliographic Details
Published in:Journal of computational and applied mathematics 2021-01, Vol.382, p.113094, Article 113094
Main Author: Abd El-Raheem, A.M.
Format: Article
Language:English
Subjects:
Accelerated life testing
Extension of the exponential distribution
Optimal design
Type-II censoring
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Summary:In this paper, we consider the optimal allocation problem in multiple stress testing with type-II censored data. The failure times of the individual are assumed to be independent and follow an extension of the exponential distribution. The exact and asymptotic optimal allocations for small and large sample sizes are obtained under three optimizations criteria associated with Fisher information matrix. Finally, real data example and numerical examples are studied to demonstrate the suggested methods.
ISSN:0377-0427
1879-1778
DOI:10.1016/j.cam.2020.113094