Bayesian prediction of minimal repair times of a series system based on hybrid censored sample of components' lifetimes under Rayleigh distribution. Issue 4 (16th February 2017)

• Record Type: Journal Article
• Authors: MirMostafaee, S. M. T. K.; Amini, Morteza; Asgharzadeh, A.
• Is Part Of: Communications in statistics. Volume 46:Issue 4(2017)
• Page Start: 1788
• Page End: 1806
• Publication Date: 2017-02-16
• Subjects: Bayesian interval prediction -- Bayesian point prediction -- coherent systems -- highest posterior density -- reliability; 62F15 -- 65C60; Mathematical statistics -- Periodicals; Mathematics; Statistics; 519.2
• DOI: 10.1080/03610926.2015.1030418
• Languages: English
• ISSNs: 0361-0926

Abstract

ABSTRACT: 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.