  In this paper, we develop Bayesian predictive inferential procedures for
prediction of repair times of a series system, applying a minimal repair
strategy, using the information contained in an independent observed hybrid
censored sample of the lifetimes of the components of the system, assuming the
underlying distribution of the lifetimes to be Rayleigh distribution. An
illustrative real data example and a simulation study are presented for the
purpose of illustration and comparison of the proposed predictors.
