Reliability analysis of cold-standby systems using a self-stratifying subset simulation method

DOI10.1080/00949655.2023.2176505OpenAlexW4319658735MaRDI QIDQ6050781

Unnamed Author, Unnamed Author, Chun-Hua Chen, Jianye Wang, Daochuan Ge, Unnamed Author

Publication date: 19 September 2023

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2023.2176505

zbMATH Keywords

Markov chain Monte Carloreliability analysissmall failure probabilitycold-standby systemself-stratifying subset simulation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• An introduction to MCMC for machine learning
• Reliability evaluation of multi-component cold-standby redundant systems
• A comparison of estimation methods for reliability function of inverse generalized Weibull distribution under new loss function
• Monte Carlo Simulation of Numerical Integration
• The Multiple-Try Method and Local Optimization in Metropolis Sampling
• Availability and profit analysis of a two-unit cold standby system for general distribution
• Stochastic approximation Hamiltonian Monte Carlo
• Hidden Markov model in multiple testing on dependent count data
• Analysis of non-repairable cold-standby systems in Bayes theory
• Reliability optimization of parallel-series and series-parallel systems with statistically dependent components

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