Optimal Multiple Constant-Stress Accelerated Life Tests for Generalized Exponential Distribution

被引：29

作者：

Guan, Qiang ^{[1
]}

Tang, Yincai ^{[2
]}

Fu, Jiayu ^{[2
]}

Xu, Ancha ^{[3
]}

机构：

[1] Sanming Univ, Inst Informat Engn, Sanming, Peoples R China

[2] E China Normal Univ, Sch Finance & Stat, Shanghai 200062, Peoples R China

[3] Wenzhou Univ, Coll Math & Informat Sci, Wenzhou 325035, Zhejiang, Peoples R China

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2014年 / 43卷 / 08期

关键词：

62K05; D-optimality; Fisher information; Generalized exponential distribution; Accelerated life testing; V-optimality; WEIBULL; PLANS;

D O I：

10.1080/03610918.2013.810257

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Recently generalized exponential distribution has been discussed by many authors. In this article, we study the optimal constant-stress accelerated life tests with complete sample for the generalized exponential distribution. The problem of choosing the optimal proportions of test units allocated to each stress level is addressed by using V-optimality as well as D-optimality criteria. Some interesting conclusions are obtained. Finally, real data example and numerical examples have been analyzed to illustrate the proposed procedures.

引用

页码：1852 / 1865

页数：14

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