Statistical inference on constant stress accelerated life tests under generalized gamma lifetime distributions

Tsai Hung Fan, Chia Hsiang Yu

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

We will discuss the reliability analysis of the constant stress accelerated life tests when a parameter in the generalized gamma lifetime distribution is linear in the stress level. Statistical inference on the estimation of the underlying model parameters as well as the mean time to failure and the reliability function will be addressed on the basis of the maximum likelihood approach. Large sample theory will be derived for the goodness of fit of the data. Some simulation study and an illustrative real example will be presented to show the appropriateness of the proposed method.

Original languageEnglish
Pages (from-to)631-638
Number of pages8
JournalQuality and Reliability Engineering International
Volume29
Issue number5
DOIs
StatePublished - Jul 2013

Keywords

  • accelerated life tests
  • generalized gamma distributions
  • likelihood ratio test
  • maximum likelihood estimate

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