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

被引：14

作者：

Abd El-Raheem, A. M. ^{[1
]}

机构：

[1] Ain Shams Univ, Fac Educ, Dept Math, Cairo, Egypt

来源：

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2021年 / 382卷

关键词：

Accelerated life testing; Type-II censoring; Extension of the exponential distribution; Optimal design; SAMPLE-SIZE ALLOCATION; BAYESIAN PREDICTION; WEIBULL REGRESSION; MODEL; INFERENCE; RELIABILITY; PLANS;

D O I：

10.1016/j.cam.2020.113094

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：17

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