Inferences on a simple step-stress model with type-II censored exponential data

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This paper presents the inferences of parameters on the simple step-stress model in accelerated life testing with type-II censoring. An exponential life distribution with a mean that is a log-linear function of stress, and a cumulative exposure model are assumed. Maximum likelihood methods are used to estimate the parameters of these models. Hypothesis tests about model parameters are discussed. Confidence intervals for parameter-estimates are constructed using a pivotal quantity. The advantage of these results is that they apply to any sample size. A numerical example illustrates the inferential procedure.

Original languageEnglish
Pages (from-to)142-146
Number of pages5
JournalIEEE Transactions on Reliability
Issue number2
StatePublished - Dec 1 1998


  • Accelerated life testing
  • Confidence interval
  • Exponential distribution
  • Maximum likelihood
  • Pivotal quantity
  • Step-stress
  • Type-II censoring


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