On Estimating a Constant Stress Life Test Model Using Time-Censored Data from the Linear Failure Rate Distribution

In this paper, a constant stress partially accelerated life test model is considered and investigated using type-I censored data from the linear failure rate distribution. The maximum likelihood estimates (point and interval) of the distribution parameters and the acceleration factor are obtained. For accuracy reasons, the mean squared errors are calculated using different sizes of samples. For illustration, Monte Carlo simulation studies are presented.

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Correspondence to Ali A. Ismail.

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Translated from Problemy Prochnosti, No. 6, pp. 110 – 117, November – December, 2018.

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Ismail, A.A., Al-Harbi, M.M. On Estimating a Constant Stress Life Test Model Using Time-Censored Data from the Linear Failure Rate Distribution. Strength Mater 50, 918–924 (2018). https://doi.org/10.1007/s11223-019-00040-5

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Keywords

  • constant stress
  • linear failure rate distribution
  • maximum likelihood
  • mean squared errors
  • type-I censoring