Estimation of exponential population with nonconstant parameters under constant-stress model

作者：

Highlights：

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• Inference for nonconstant exponential parameters is studied in constant-stress model.

• Pivotal based method is proposed for parameter estimation.

• Bootstrap and asymptotic intervals are investigated.

• The proposed methods can be extended to more other cases.

• Example for the oil breakdown times of insulating fluid is considered.

摘要

•Inference for nonconstant exponential parameters is studied in constant-stress model.•Pivotal based method is proposed for parameter estimation.•Bootstrap and asymptotic intervals are investigated.•The proposed methods can be extended to more other cases.•Example for the oil breakdown times of insulating fluid is considered.

论文关键词：primary,62F10,secondary,62N02,Accelerated life test,Constant-stress model,Nonconstant parameters,Pivotal based estimation,Monte-Carlo simulation

论文评审过程：Received 24 March 2017, Revised 27 July 2017, Available online 26 April 2018, Version of Record 11 May 2018.

论文官网地址：https://doi.org/10.1016/j.cam.2018.03.039