A general hazard regression model for accelerated life testing

Huan Jyh Shyur, E Elsayed, James Luxhoj

Research output: Contribution to journalArticle

11 Scopus citations

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 reliability measures at normal operating conditions. The extended hazard regression (EHR) model has been successfully used in analyzing the survival time data of non-homogeneous populations in 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 the EHR model and demonstrate its applicability in the reliability engineering field.

Original languageEnglish (US)
Pages (from-to)263-280
Number of pages18
JournalAnnals of Operations Research
Volume91
StatePublished - Dec 1 1999

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Management Science and Operations Research

Keywords

  • Accelerated failure time model
  • Accelerated life testing
  • Extended hazard regression model
  • Hazard rate
  • Nonparametric regression model
  • Proportional hazards model

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