Interfailure Data with Constant Hazard Function in the Presence of Change-Points

Markov Chain Monte Carlo (MCMC) methods are used to perform a Bayesian analysis for interfailure data with constant hazard function in the presence of one or more change-points. We also present some Bayesian criteria to discriminate different models. The methodology is illustrated with a data set o...

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Bibliographic Details
Main Authors: Jorge Alberto Achcar, Selene Loibel, Marinho G. Andrade
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2007-06-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/49