IEEE Transactions on Reliability · 2003 · 571 citations · 10 references
Public HealthRisk ManagementHazard IdentificationStochastic ModelingSurvival AnalysisExtreme Value TheoryHazard FunctionsReliability ModelingSurvival FunctionsSurvival ModelingExtreme Value AnalysisExtreme Value DistributionsHazard Rate EstimationHazard Rate ModelsLifetime DistributionsModel IdentificationWeibull Model
A new lifetime distribution capable of modeling a bathtub-shaped hazard-rate function is proposed. The proposed model is derived as a limiting case of the Beta Integrated Model and has both the Weibull distribution and Type 1 extreme value distribution as special cases. The model can be considered as another useful 3-parameter generalization of the Weibull distribution. An advantage of the model is that the model parameters can be estimated easily based on a Weibull probability paper (WPP) plot that serves as a tool for model identification. Model characterization based on the WPP plot is studied. A numerical example is provided and comparison with another Weibull extension, the exponentiated Weibull, is also discussed. The proposed model compares well with other competing models to fit data that exhibits a bathtub-shaped hazard-rate function.
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Continuous Univariate Distributions.
Yasuhiro Omori, Norman L. Johnson, S. Kotz et al. · Journal of the American Statistical Association · 1995 · 9.3K citations
How to Identify a Bathtub Hazard Rate
Magne V. Aarset · IEEE Transactions on Reliability · 1987 · 763 citations