PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

An alternative competing risk model to the Weibull distribution in lifetime data analysis
Henri Bertholon, Gilles Celeux and Nicolas Bousquet
(2004) Technical Report. INRIA Press, Orsay, 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.

EPrint Type:Monograph (Technical Report)
Additional Information:this is a technical report.
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Multimodal Integration
ID Code:726
Deposited By:Nicolas Bousquet
Deposited On:30 December 2004