Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Optimal three step-stress accelerated life tests for Type-I hybrid censored data

  • Moon, Gyoung Ae (Devision of Oriental Medicine and Processing, Hanzhong University)
  • Received : 2014.12.17
  • Accepted : 2015.01.12
  • Published : 2015.01.31
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Abstract

In this paper, the maximum likelihood estimators for parameters are derived under three step-stress accelerated life tests for Type-I hybrid censored data. The exponential distribution and the cumulative exposure model are considered based on the assumption that a log quadratic relationship exits between stress and the mean lifetime ${\theta}$. The test plan to search optimal stress change times minimizing the asymptotic variance of maximum likelihood estimators are presented. A numerical example to illustrate the proposed inferential procedures and some simulation results to investigate the sensitivity of the optimal stress change times by the guessed parameters are given.

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References

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