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Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility
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Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility (2015)Sandia Verification and Validation Challe…A comparison of methods for representing sparsely sampled random quantities. (2013)A comparison of methods for r…DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. (2011)DAKOTA : a multilevel paralle…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Numerical Methods for Stochastic Computations: A Spectral Method Approach (2010)Numerical Methods for Stochas…DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)DAKOTA : a multilevel paralle…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Predictive Capability Maturity Model for computational modeling and simulation. (2007)Predictive Capability Maturit…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Structural reliability under combined random load sequences (1978)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A user's guide to Sandia's latin hypercube sampling software : LHS UNIX library/standalone version. (2004)Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data (2017)Review of Geometric Uncertainty Quantification in Gas Turbines (2020)Stochastic Finite Elements: A Spectral Approach (1991)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design (2009)Designs for Computer Experiments (1989)Probability, reliability and statistical methods in engineering design (1999)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Metamodel-based importance sampling for structural reliability analysis (2013)Simulation Modeling and Analysis. (1983)Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Verification and Validation in Computational Science and Engineering (1998)Toward a more rigorous application of margins and uncertainties within the nuclear weapons life cycle : a Sandia perspective. (2007)Incorporating assumption deviation risk in quantitative risk assessments: A semi-quantitative approach (2017)A classification system for characterizing the integrity and quality of evidence in risk studies (2023)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Imprecise probabilities in engineering analyses (2013)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011)Stochastic finite element methods for partial differential equations with random input data (2014)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Handbook on Constructing Composite Indicators (2005)Tools for Composite Indicators Building (2005)An effective screening design for sensitivity analysis of large models (2007)
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References

  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2010Numerical Methods for Stochastic Computations: A Spectral Method Approach1,107 cited
  • 2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.775 cited
  • 2007Predictive Capability Maturity Model for computational modeling and simulation.127 cited
  • 2011DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.99 cited
  • 2013A comparison of methods for representing sparsely sampled random quantities.14 cited

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