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A Comparative Review of Sensitivity and Uncertainty Analysis of Large-Scale Systems—II: Statistical Methods
10 references·16 citing·27 second hop
A Comparative Review of Sensitivity and Uncertainty Analysis of Large-Scale Systems—II: Statistical Methods (2004)A Comparative Review of Sensitivity and U…Handbook of simulation: Principles, methodology, advances, applications, and practice (1999)Handbook of simulation: Princ…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Sensitivity measures,anova-li…Sensitivity analysis of model output (1997)Sensitivity analysis of model…About the use of rank transformation in sensitivity analysis of model output (1995)About the use of rank transfo…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Sensitivity analysis of the integrated AHP-TOPSIS and CRITIC-TOPSIS method for selection of the natural fiber (2021)Sensitivity analysis of the i…Selection of the natural fiber for sustainable applications in aerospace cabin interior using fuzzy MCDM model (2021)Selection of the natural fibe…Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Review of statistical model c…Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model (2017)Borgonovo moment independent …Literature review of methods for representing uncertainty (2013)Literature review of methods …Grid and basis adaptive polynomial chaos techniques for sensitivity and uncertainty analysis (2013)Grid and basis adaptive polyn…Update 1 of: Sensitivity Analysis for Chemical Models (2012)Update 1 of: Sensitivity Anal…Sensitivity analysis of TOPSIS method in water quality assessment: I. Sensitivity to the parameter weights (2012)Sensitivity analysis of TOPSI…Industrial disasters: Extreme events, extremely rare. Some reflections on the treatment of uncertainties in the assessment of the associated risks (2012)Industrial disasters: Extreme…Quantification of margins and uncertainties: Conceptual and computational basis (2011)Quantification of margins and…Representation of analysis results involving aleatory and epistemic uncertainty (2010)Representation of analysis re…An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems (2010)An optimized Line Sampling me…Uncertainty and Sensitivity Analysis for Models of Complex Systems (2008)Uncertainty and Sensitivity A…Representation of analysis results involving aleatory and epistemic uncertainty. (2008)Representation of analysis re…Multiple predictor smoothing methods for sensitivity analysis: Description of techniques (2007)Multiple predictor smoothing …Extension of Latin hypercube samples with correlated variables (2007)Extension of Latin hypercube …Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Random balance designs for the estimation of first order global sensitivity indices (2005)Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis (2010)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Response Surfaces: Designs and Analyses (1997)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Sensitivity analysis of an environmental model: an application of different analysis methods (1997)A methodology for fitting and validating metamodels in simulation1Two anonymous referees' comments on the first draft lead to an improved organization of our paper.1 (2000)Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis (2002)Efficient input—output model representations (1999)Theorems and examples on high dimensional model representation (2003)From screening to quantitative sensitivity analysis. 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this work references cited by second hop

References

  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 1999Handbook of simulation: Principles, methodology, advances, applications, and practice664 cited
  • 1997Sensitivity measures,anova-like Techniques and the use of bootstrap546 cited
  • 1995About the use of rank transformation in sensitivity analysis of model output340 cited
  • 1997Sensitivity analysis of model output313 cited

Cited by

  • 2007Multiple predictor smoothing methods for sensitivity analysis: Description of techniques173 cited
  • 2010Representation of analysis results involving aleatory and epistemic uncertainty156 cited
  • 2012Sensitivity analysis of TOPSIS method in water quality assessment: I. Sensitivity to the parameter weights137 cited
  • 2008Representation of analysis results involving aleatory and epistemic uncertainty.

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123 cited
  • 2007Extension of Latin hypercube samples with correlated variables113 cited
  • 2019Review of statistical model calibration and validation—from the perspective of uncertainty structures99 cited
  • 2012Update 1 of: Sensitivity Analysis for Chemical Models92 cited
  • 2011Quantification of margins and uncertainties: Conceptual and computational basis87 cited
  • 2012Industrial disasters: Extreme events, extremely rare. Some reflections on the treatment of uncertainties in the assessment of the associated risks79 cited
  • 2021Sensitivity analysis of the integrated AHP-TOPSIS and CRITIC-TOPSIS method for selection of the natural fiber65 cited
  • 2010An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems62 cited
  • 2021Selection of the natural fiber for sustainable applications in aerospace cabin interior using fuzzy MCDM model59 cited
  • 2008Uncertainty and Sensitivity Analysis for Models of Complex Systems57 cited
  • 2013Literature review of methods for representing uncertainty55 cited
  • 2013Grid and basis adaptive polynomial chaos techniques for sensitivity and uncertainty analysis52 cited
  • 2017Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model47 cited