Abstract
Abstract Repair models specify the joint distribution of the failure times of a system subject to repair. Prominent models include the minimal repair model, the Brown–Proschan model, the Block–Borges–Savits model, the Kijima models, and the general Dorado–Hollander–Sethuraman model. For such models, failure‐time data and data on the types of repairs performed allow inference for the distribution F of the time to first failure of the system and other features of the system that can be defined in terms of F . This article surveys some nonparametric inference procedures for repair data, including frequentist and Bayesian estimation of F , simultaneous confidence bands for F , two‐sample tests, tests of the minimal repair assumption, and goodness‐of‐fit tests.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
