The omega probability distribution and its applications in reliability theory

József Dombi, Tamás Jónás, Z. Tóth, Gábor Árva

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A new three-parameter probability distribution called the omega probability distribution is introduced, and its connection with the Weibull distribution is discussed. We show that the asymptotic omega distribution is just the Weibull distribution and point out that the mathematical properties of the novel distribution allow us to model bathtub-shaped hazard functions in two ways. On the one hand, we demonstrate that the curve of the omega hazard function with special parameter settings is bathtub shaped and so it can be utilized to describe a complete bathtub-shaped hazard curve. On the other hand, the omega probability distribution can be applied in the same way as the Weibull probability distribution to model each phase of a bathtub-shaped hazard function. Here, we also propose two approaches for practical statistical estimation of distribution parameters. From a practical perspective, there are two notable properties of the novel distribution, namely, its simplicity and flexibility. Also, both the cumulative distribution function and the hazard function are composed of power functions, which on the basis of the results from analyses of real failure data, can be applied quite effectively in modeling bathtub-shaped hazard curves.

Original languageEnglish
JournalQuality and Reliability Engineering International
DOIs
Publication statusAccepted/In press - Jan 1 2018

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Keywords

  • hazard function modeling
  • omega distribution
  • reliability analysis
  • Weibull distribution

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

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