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An alternative competing risk model to the Weibull distribution in lifetime data analysis

Henri Bertholon 1 Nicolas Bousquet 1 Gilles Celeux 1
1 SELECT - Model selection in statistical learning
LMO - Laboratoire de Mathématiques d'Orsay, Inria Saclay - Ile de France
Abstract : A simple competing risk distribution as a possible alternative to the Weibull distribution in lifetime analysis is proposed. This distribution corresponds to the minimum between exponential and Weibull distributions. Our motivation is to take account of both accidental and aging failures in lifetime data analysis. First, the main characteristics of this distribution are presented. Then the estimation of its parameters are considered through maximum likelihood and Bayesian inference. Decision tests to choose between an exponential, Weibull and this competing risk distribution are presented. And this alternative model is compared to the Weibull model from numerical experiments on both real and simulated data sets.
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https://hal.inria.fr/inria-00070733
Contributor : Rapport de Recherche Inria <>
Submitted on : Friday, May 19, 2006 - 9:27:33 PM
Last modification on : Wednesday, September 16, 2020 - 5:07:09 PM
Long-term archiving on: : Sunday, April 4, 2010 - 9:48:32 PM

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  • HAL Id : inria-00070733, version 1

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Henri Bertholon, Nicolas Bousquet, Gilles Celeux. An alternative competing risk model to the Weibull distribution in lifetime data analysis. [Research Report] RR-5265, INRIA. 2004, pp.25. ⟨inria-00070733⟩

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