PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

An alternative competing risk model to the Weibull distribution
Gilles Celeux, Nicholas Bousquet and H. Bertholon
lifetime data analysis 2004.

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:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:652
Deposited By:Michele Sebag
Deposited On:29 December 2004