مشخصات پژوهش

عنوان	Bayesian prediction of minimal repair times of a series system based on hybrid censored sample of components’ lifetimes under Rayleigh distribution
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Bayesian interval prediction, Bayesian point prediction, coherent systems, highest posterior density, reliability
چکیده	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.
پژوهشگران	اکبر اصغر زاده (نفر سوم)، مرتضی امینی (نفر دوم)، سیدمحمدتقی کامل میرمصطفائی (نفر اول)