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Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence
9 references·16 citing·24 second hop
Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)Monte-Carlo based uncertainty analysis: S…An efficient algorithm for constructing optimal design of computer experiments (2004)An efficient algorithm for co…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Error and uncertainty in modeling and simulation (2002)Error and uncertainty in mode…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Exploratory designs for computational experiments (1995)Exploratory designs for compu…Minimax and maximin distance designs (1990)Minimax and maximin distance …Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…An active learning Kriging model with approximating parallel strategy for structural reliability analysis (2024)An active learning Kriging mo…Bayesian post-processing of Monte Carlo simulation in reliability analysis (2022)Bayesian post-processing of M…Assessment of red tide risk by integrating CRITIC weight method, TOPSIS-ASSETS method, and Monte Carlo simulation (2022)Assessment of red tide risk b…To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications (2021)To Sobol or not to Sobol? The…Surrogate model uncertainty quantification for reliability-based design optimization (2019)Surrogate model uncertainty q…Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications (2019)Quasi-Monte Carlo based uncer…Community scale livability evaluation integrating remote sensing, surface observation and geospatial big data (2019)Community scale livability ev…Review of Robust Aerodynamic Design Optimization for Air Vehicles (2018)Review of Robust Aerodynamic …Zone-based reliability analysis on fatigue life of GH720Li turbine disk concerning uncertainty quantification (2017)Zone-based reliability analys…Spatially explicit sensitivity and uncertainty analysis for multicriteria-based vulnerability assessment (2017)Spatially explicit sensitivit…Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses (2017)Multi-criteria risk evaluatio…Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles (2016)Review of improved Monte Carl…Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification (2015)Refined Stratified Sampling f…Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations (2014)Polynomial chaos expansions f…Hierarchical Refinement of Latin Hypercube Samples (2014)Hierarchical Refinement of La…Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling (2014)Efficiency enhancement of opt…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Design and Analysis of Computer Experiments (1989)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Simulation Modeling and Analysis. (1983)Empirical Model Building and Response Surfaces (1988)An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)Verification, validation, and predictive capability in computational engineering and physics (2004)Calibration, validation, and sensitivity analysis: What's what (2006)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)A manifesto for reproducible science (2017)Multi-method global sensitivity analysis of mathematical models (2022)Design of computer experiments: space filling and beyond (2011)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)Design of computer experiments: A review (2017)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Response Surface Methodology: A Retrospective and Literature Survey (2004)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2004An efficient algorithm for constructing optimal design of computer experiments671 cited
  • 2002Error and uncertainty in modeling and simulation629 cited

Cited by

  • 2021To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications154 cited
  • 2019Surrogate model uncertainty quantification for reliability-based design optimization126 cited
  • 2015Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification122 cited
  • 2017Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses118 cited
  • 2014

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Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations
115 cited
  • 2022Assessment of red tide risk by integrating CRITIC weight method, TOPSIS-ASSETS method, and Monte Carlo simulation111 cited
  • 2019Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications94 cited
  • 2014Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling93 cited
  • 2017Spatially explicit sensitivity and uncertainty analysis for multicriteria-based vulnerability assessment89 cited
  • 2016Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles88 cited
  • 2022Bayesian post-processing of Monte Carlo simulation in reliability analysis75 cited
  • 2017Zone-based reliability analysis on fatigue life of GH720Li turbine disk concerning uncertainty quantification68 cited
  • 2024An active learning Kriging model with approximating parallel strategy for structural reliability analysis66 cited
  • 2014Hierarchical Refinement of Latin Hypercube Samples57 cited
  • 2019Community scale livability evaluation integrating remote sensing, surface observation and geospatial big data54 cited
  • 2018Review of Robust Aerodynamic Design Optimization for Air Vehicles51 cited