摘要：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].
