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On testing whether burn-in is required under the long-run average cost

Author

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  • Mohammadi, Faezeh
  • Izadi, Muhyiddin
  • Lai, Chin-Diew

Abstract

In this paper, we consider the testing problem whether burn-in is required based on the long-run average cost for a population with bathtub-shaped failure rate function. We propose a test based on kernel density estimation. We then apply our proposed test to two real data sets in the context of reliability.

Suggested Citation

  • Mohammadi, Faezeh & Izadi, Muhyiddin & Lai, Chin-Diew, 2016. "On testing whether burn-in is required under the long-run average cost," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 217-224.
  • Handle: RePEc:eee:stapro:v:110:y:2016:i:c:p:217-224
    DOI: 10.1016/j.spl.2015.10.009
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    References listed on IDEAS

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    6. Bebbington, Mark & Lai, Chin-Diew & Zitikis, RiÄ ardas, 2009. "Balancing burn-in and mission times in environments with catastrophic and repairable failures," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1314-1321.
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