Optimal design of multiple accelerated life testing for generalized half-normal distribution under type-I censoring

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:368

Article

Abd El-Raheem, A. M.¹ 

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

关键词: Accelerated life testing;    Optimal design;    Fisher information matrix;    Generalized half-normal distribution;    Type-I censoring;    Simulation study;   

DOI  :  10.1016/j.cam.2019.112539

来源: Elsevier

【 摘 要 】

This article uses three optimality criteria to conclude the optimal allocation of multiple accelerated life testing for the generalized half-normal model under type-I censoring. We derive the maximum likelihood estimates of the parameters and their Fisher information matrix. Numerical and simulations examples are used to demonstrate the effectiveness of the optimal allocation. A sensitivity analysis of the optimal allocation to misspecification of the model parameters is conducted. (C) 2019 Elsevier B.V. All rights reserved.

【 授权许可】

Free