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 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. [ABSTRACT FROM AUTHOR]

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