Optimal multiple constant-stress accelerated life tests for generalized exponential distribution

Qiang Guan; Yincai Tang; Jiayu Fu; Ancha Xu

doi:10.1080/03610918.2013.810257

Optimal multiple constant-stress accelerated life tests for generalized exponential distribution

Qiang Guan, Yincai Tang, Jiayu Fu, Ancha Xu

School of Statistics

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	1852-1865
Number of pages	14
Journal	Communications in Statistics Part B: Simulation and Computation
Volume	43
Issue number	8
DOIs	https://doi.org/10.1080/03610918.2013.810257
State	Published - 14 Sep 2014

Keywords

Accelerated life testing
D-optimality
Fisher information
Generalized exponential distribution
V-optimality

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10.1080/03610918.2013.810257

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KW - Accelerated life testing

KW - D-optimality

KW - Fisher information

KW - Generalized exponential distribution

KW - V-optimality

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ER -

Optimal multiple constant-stress accelerated life tests for generalized exponential distribution

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Keywords

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