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

oleh: Jorge Alberto Achcar, Selene Loibel, Marinho G. Andrade

Format: Article
Diterbitkan: Instituto Nacional de Estatística | Statistics Portugal 2007-06-01

Deskripsi

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 originally reported in Maguire, Pearson and Wynn [8].