Bayesian prediction of minimal repair times of a series system based on hybrid censored sample of components' lifetimes under Rayleigh distribution

摘要

In this paper, we develop Bayesian predictive inferential procedures forprediction of repair times of a series system, applying a minimal repairstrategy, using the information contained in an independent observed hybridcensored sample of the lifetimes of the components of the system, assuming theunderlying distribution of the lifetimes to be Rayleigh distribution. Anillustrative real data example and a simulation study are presented for thepurpose of illustration and comparison of the proposed predictors.