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Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence · Study

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ArticleMonte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence

Hans Janßen2012

OA

Articlegreen2012

Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence

388 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Geotechnical Engineering and Analysis Simulation Techniques and Applications

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References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling 1982A distribution-free approach to inducing rank correlation among input variables 1990Minimax and maximin distance designs 1995Exploratory designs for computational experiments 2004An efficient algorithm for constructing optimal design of computer experiments

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2021To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications 2019Surrogate model uncertainty quantification for reliability-based design optimization 2015Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification 2017Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses

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Details

Year2012

Typearticle

Published2012-08-23

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations388

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2012.08.003

openalex_workW2094476403

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2014

Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations

2022Assessment of red tide risk by integrating CRITIC weight method, TOPSIS-ASSETS method, and Monte Carlo simulation

2019Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications

2014Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling