Abstract: | Failures in repairable systems are often described by means of non-homogeneous Poisson processes, identified by their intensity
and mean value functions. Intervention on the systems are likely to modify their reliability, and changes in intensities and
mean value functions are therefore induced. We consider different scenarios in which interventions take places and propose
models describing each of them. Bayesian analyses, relying on Markov-chain Monte Carlo methods, are illustrated along with
applications to simulated and real, widely-known, data. |