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A general hazard regression modelfor accelerated life testing

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  • H.‐-J Shyur
  • E.A. Elsayed
  • J.T. Luxhøj

Abstract

In this paper, we apply a general hazard regression model for accelerated life testing.The model utilizes failure time data at accelerated conditions to estimate the reliabilitymeasures at normal operating conditions. The extended hazard regression ‐EHR‐ model hasbeen successfully used in analyzing the survival time data of non‐homogeneous populationsin the medical field. It is a general model that encompasses both the proportional hazards(PH) and the accelerated failure time (AFT) models as special cases. We investigate theEHR model and demonstrate its applicability in the reliability engineering field. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • H.‐-J Shyur & E.A. Elsayed & J.T. Luxhøj, 1999. "A general hazard regression modelfor accelerated life testing," Annals of Operations Research, Springer, vol. 91(0), pages 263-280, January.
    • Handle: RePEc:spr:annopr:v:91:y:1999:i:0:p:263-280:10.1023/a:1018953824369
    DOI: 10.1023/A:1018953824369
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    Cited by:

    1. Inbal Yahav & Galit Shmueli, 2014. "Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores," Annals of Operations Research, Springer, vol. 216(1), pages 101-128, May.
    2. Moustafa, Kassem & Hu, Zhen & Mourelatos, Zissimos P. & Baseski, Igor & Majcher, Monica, 2021. "System reliability analysis using component-level and system-level accelerated life testing," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

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