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Inferential study of single unit repairable system

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  • Patawa, Rohit
  • Pundir, Pramendra Singh

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.

Suggested Citation

  • Patawa, Rohit & Pundir, Pramendra Singh, 2023. "Inferential study of single unit repairable system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 206(C), pages 503-516.
    • Handle: RePEc:eee:matcom:v:206:y:2023:i:c:p:503-516
    DOI: 10.1016/j.matcom.2022.12.003
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    References listed on IDEAS

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    4. Hsu, Ying-Lin & Lee, Ssu-Lang & Ke, Jau-Chuan, 2009. "A repairable system with imperfect coverage and reboot: Bayesian and asymptotic estimation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(7), pages 2227-2239.
    5. Gilardoni, Gustavo L. & Oliveira, Maristela D. de & Colosimo, Enrico A., 2013. "Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 113-124.
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