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Problem Solving Environment for Uncertainty Analysis and Design Exploration
6 references·3 citing·33 second hop
Problem Solving Environment for Uncertainty Analysis and Design Exploration (2015)Problem Solving Environment for Uncertain…A Complete Framework for Verification, Validation, and Uncertainty Quantification in Scientific Computing (Invited) (2010)A Complete Framework for Veri…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)THE DESIGN OF OPTIMUM MULTIFA…An amplitude-nested surrogate model for nonlinear response using double-layer Hilbert–Huang transform (2022)An amplitude-nested surrogate…Uncertainty quantification of fluidized beds using a data-driven framework (2019)Uncertainty quantification of…Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework (2016)Towards uncertainty quantific…Design of Experiments (1936)Some Improvements in Weighing and Other Experimental Techniques (1944)On the Design of Experiments for Weighing and Making Other Types of Measurements (1945)Some New Three Level Designs for the Study of Quantitative Variables (1960)Design and Analysis of Computer Experiments (1989)Importance measures in global sensitivity analysis of nonlinear models (1996)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A new uncertainty importance measure (2006)How to avoid a perfunctory sensitivity analysis (2010)Sensitivity analysis: A review of recent advances (2015)The architecture of the Earth System Modeling Framework (2004)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Modeling uncertainty in the earth sciences (2012)Statistics for Experimenters (1979)Stochastic Finite Elements: A Spectral Approach (1991)Verification and Validation in Computational Science and Engineering (1998)Error and Uncertainty Analysis of Inexact and Imprecise Computer Models (2012)Gradient-based methods for uncertainty quantification in hypersonic flows (2012)Analysis of Uncertainty and Variability in Finite Element Computational Models for Biomedical Engineering: Characterization and Propagation (2016)Probability, reliability and statistical methods in engineering design (1999)Probability, Reliability and Statistical Methods in Engineering Design (2001)Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure (2004)Parameter perturbation method for dynamic responses of structures with uncertain-but-bounded parameters based on interval analysis (2005)Handbook of Uncertainty Quantification (2016)On the Experimental Attainment of Optimum Conditions (1951)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 for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Tools for Composite Indicators Building (2005)
this work references cited by second hop

References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,945 cited
  • 1946THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS4,069 cited
  • 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,843 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 2010A Complete Framework for Verification, Validation, and Uncertainty Quantification in Scientific Computing (Invited)78 cited

Cited by

  • 2019Uncertainty quantification of fluidized beds using a data-driven framework8 cited
  • 2022An amplitude-nested surrogate model for nonlinear response using double-layer Hilbert–Huang transform7 cited
  • 2016Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework7 cited

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