SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Monte Carlo Estimation of Uncertainty Contributions from Several Independent Multivariate Sources
6 references·16 citing·32 second hop
Monte Carlo Estimation of Uncertainty Contributions from Several Independent Multivariate Sources (1994)Monte Carlo Estimation of Uncertainty Con…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…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis (1990)A Robust Measure of Uncertain…An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models (1988)An Investigation of Uncertain…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 …Comparison of two sets of Monte Carlo estimators of Sobol’ indices (2021)Comparison of two sets of Mon…A simple algorithm for global sensitivity analysis with Shapley effects (2021)A simple algorithm for global…Shapley effects for sensitivity analysis with dependent inputs: bootstrap and kriging-based algorithms (2019)Shapley effects for sensitivi…Efficient method for variance-based sensitivity analysis (2018)Efficient method for variance…Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms (2017)Variance-Based Sensitivity An…Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms (2015)Variance-Based Sensitivity An…Parametric uncertainty and global sensitivity analysis in a model of the carotid bifurcation: Identification and ranking of most sensitive model parameters (2015)Parametric uncertainty and gl…Uncertainty and Sensitivity Analysis (2014)Uncertainty and Sensitivity A…Comparing two sensitivity analysis approaches for two scenarios with a spatially explicit rural agent-based model (2014)Comparing two sensitivity ana…Methodology for global sensitivity analysis of consequence models (2013)Methodology for global sensit…A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices (2010)A new derivative based import…Probabilistic Exposure Analysis for Chemical Risk Characterization (2009)Probabilistic Exposure Analys…Survey of sampling-based methods for uncertainty and sensitivity analysis. (2006)Survey of sampling-based meth…Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems (2002)Latin Hypercube Sampling and …Winding Stairs: A sampling tool to compute sensitivity indices (2000)Winding Stairs: A sampling to…Assessing Sensitivities and Uncertainties in Models: A Critical Evaluation (1994)Assessing Sensitivities and U…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Sample-based estimation of correlation ratio with polynomial approximation (2007)Screening important inputs in models with strong interaction properties (2008)Global reliability sensitivity analysis by Sobol-based dynamic adaptive kriging importance sampling (2020)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)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Making best use of model evaluations to compute sensitivity indices (2002)Bias correction for the estimation of sensitivity indices based on random balance designs (2012)Update 1 of: Sensitivity Analysis for Chemical Models (2012)Computing derivative-based global sensitivity measures using polynomial chaos expansions (2014)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Sensitivity Analysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ingredient of Modeling (2000)Model-based design of experiments for parameter precision: State of the art (2007)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)A user's guide to Sandia's latin hypercube sampling software : LHS UNIX library/standalone version. (2004)Local and global uncertainty analysis of complex chemical kinetic systems (2006)Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling (2014)Global sensitivity analysis using polynomial chaos expansions (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis (2024)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)An uncertainty importance measure using a distance metric for the change in a cumulative distribution function (2000)Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches (2006)Moment Independent Importance Measures: New Results and Analytical Test Cases (2010)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)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
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 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
  • 1988An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models609 cited
  • 1990A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis264 cited

Cited by

  • 2010A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices124 cited
  • 2002Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems113 cited
  • 2000Winding Stairs: A sampling tool to compute sensitivity indices66 cited
  • 2021Comparison of two sets of Monte Carlo estimators of Sobol’ indices49 cited
  • 2014Comparing two sensitivity analysis approaches for two scenarios with a spatially explicit rural agent-based model49 cited
  • 2009Probabilistic Exposure Analysis for Chemical Risk Characterization45 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis.44 cited
  • 2015

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms
39 cited
  • 2019Shapley effects for sensitivity analysis with dependent inputs: bootstrap and kriging-based algorithms39 cited
  • 1994Assessing Sensitivities and Uncertainties in Models: A Critical Evaluation33 cited
  • 2017Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms31 cited
  • 2021A simple algorithm for global sensitivity analysis with Shapley effects30 cited
  • 2015Parametric uncertainty and global sensitivity analysis in a model of the carotid bifurcation: Identification and ranking of most sensitive model parameters29 cited
  • 2013Methodology for global sensitivity analysis of consequence models20 cited
  • 2014Uncertainty and Sensitivity Analysis20 cited
  • 2018Efficient method for variance-based sensitivity analysis18 cited