Inferential study of single unit repairable system

Rohit Patawa and Pramendra Singh Pundir

Mathematics and Computers in Simulation (MATCOM), 2023, vol. 206, issue C, 503-516

Abstract: Most of the entrepreneurs at the starting phase have to start with a single unit and are always worried about its workability. In view of this engineering-related problem of mass, this article proposes a new and better intensity function to analyze a Non Homogeneous Poisson Process (NHPP) based single unit repairable system. Then the applicability of the proposed model has been shown over constant intensity of failure for failure truncated and time censored data storage processes. Also, the inferential study of the repairable system has been performed under Classical and Bayesian estimation environments with some real data sets.

Keywords: Bayesian inference; Maximum likelihood; Non-homogeneous Poisson process; Reliability decay; Repairable system; Simulation (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:206:y:2023:i:c:p:503-516

DOI: 10.1016/j.matcom.2022.12.003

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