Feasibility study of progressive Latin hypercube sampling and quasi-Monte Carlo simulation for probabilistic risk assessment
In probabilistic risk assessment (PRA), two main methods exist for quantifying fault trees: theoretical and empirical (sampling). The efficiency of PRA quantification varies depending on the sampling method used. This study evaluated the feasibility of using quasi-Monte Carlo simulation (Quasi-MCS)...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2024.2425185 |
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