Generalized fiducial inference for accelerated life tests with weibull distribution and progressively type-II censoring

Piao Chen, Ancha Xu, Zhi Sheng Ye

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)

Abstract

In addition to conventional censoring schemes such as Type-I or Type-II censoring, progressively censoring is a useful method to reduce cost and obtain additional reliability information in accelerated life testing. Statistical inference for accelerated life testing (ALT) with Weibull distribution and progressively censoring is found to be difficult. This paper develops generalized fiducial inference techniques for the constant-stress ALT model with Weibull distribution and progressively Type-II censoring. Simulation studies reveal the good performance of the proposed inference methods. An example is given for illustration.

Original languageEnglish
Pages (from-to)1737-1744
JournalIEEE Transactions on Reliability
Volume65
Issue number4
DOIs
Publication statusPublished - 1 Dec 2016
Externally publishedYes

Keywords

  • Accelerated life test
  • fiducial inference
  • Gibbs sampling
  • progressively censoring
  • Weibull distribution

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