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Strength of Materials

, Volume 50, Issue 6, pp 918–924 | Cite as

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

  • Ali A. IsmailEmail author
  • M. M. Al-Harbi
Article
  • 13 Downloads

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.

Keywords

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

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Cairo University, Faculty of Economics & Political Science, Department of StatisticsGizaEgypt
  2. 2.Qassim University, College of Science and Arts, Department of MathematicsAl-RassSaudi Arabia

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