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General Concepts for Experimental Validation of ASCI Code Applications
14 references·7 citing·28 second hop
General Concepts for Experimental Validation of ASCI Code Applications (2002)General Concepts for Experimental Validat…Statistical Validation of Engineering and Scientific Models: A Maximum Likelihood Based Metric (2002)Statistical Validation of Eng…Probabilistic Risk Analysis: Foundations and Methods (2001)Probabilistic Risk Analysis: …Measuring the Predictive Capability of Computational Models: Principles and Methods, Issues and Illustrations (2001)Measuring the Predictive Capa…Elicitation of Expert Opinions for Uncertainty and Risks (2001)Elicitation of Expert Opinion…Statistical Validation of Engineering and Scientific Models: Background (1999)Statistical Validation of Eng…Risk Modeling, Assessment, And Management (1999)Risk Modeling, Assessment, An…Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Verification and Validation in Computational Science and Engineering (1998)Verification and Validation i…Validation in Simulation: Various Positions in the Philosophy of Science (1998)Validation in Simulation: Var…Principles of simulation model validation, verification, and testing (1997)Principles of simulation mode…Probabilistic Risk Assessment and Management for Engineers and Scientists (1996)Probabilistic Risk Assessment…Experimentation and Uncertainty Analysis for Engineers (1991)Experimentation and Uncertain…Changing Order: Replication and Induction in Scientific Practice (1988)Changing Order: Replication a…Planning of Experiments (1958)Planning of ExperimentsIndustrial issues and solutions to statistical model improvement: a case study of an automobile steering column (2020)Industrial issues and solutio…On the Statistical Formalism of Uncertainty Quantification (2018)On the Statistical Formalism …Design and analysis for the Gaussian process model (2009)Design and analysis for the G…Multivariate approach to the thermal challenge problem (2008)Multivariate approach to the …A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics (2008)A General Strategy for Physic…Validated Model? Not So Fast. The Need for Model "Conditioning" as an Essential Addendum to Model Validation (2007)Validated Model? Not So Fast.…Verification, Validation, and Predictive Capability in Computational Engineering and Physics (2003)Verification, Validation, and…Truth and Method (1960)THE STRUCTURE OF SCIENTIFIC REVOLUTIONS (1963)The Structure of Scientific Revolutions (1963)Validation of simulation based models: A theoretical outlook (2006)Errors and Artefacts in Agent-Based Modelling (2009)Making a meaningful contribution to theory (2015)Error and uncertainty in modeling and simulation (2002)Verification, validation, and predictive capability in computational engineering and physics (2004)Risks and decisions for conservation and environmental management (2005)Proactive planning for catastrophic events in supply chains (2008)The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards (2012)Future research challenges for incorporation of uncertainty in environmental and ecological decision-making (2008)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Methods and models in process safety and risk management: Past, present and future (2015)Engineering application of experimental uncertainty analysis (1995)Measures of agreement between computation and experiment: Validation metrics (2006)Methods for combining randomized clinical trials: Strengths and limitations (1987)The Handbook of Research Synthesis (1995)A comparison of supply chain vulnerability indices for different categories of firms (2011)Guidance on Expert Knowledge Elicitation in Food and Feed Safety Risk Assessment (2014)SHELF: The Sheffield Elicitation Framework (2017)Rhetoric of Economics (1998)A Sociology of Expectations: Retrospecting Prospects and Prospecting Retrospects (2003)Auditing and the production of legitimacy (2003)Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)
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References

  • 1998Verification and Validation in Computational Science and Engineering2,153 cited
  • 1991Experimentation and Uncertainty Analysis for Engineers1,805 cited
  • 1999Probability, reliability and statistical methods in engineering design1,377 cited
  • 1988Changing Order: Replication and Induction in Scientific Practice1,280 cited
  • 1958Planning of Experiments1,058 cited
  • 2001Probabilistic Risk Analysis: Foundations and Methods821 cited
  • 1999Risk Modeling, Assessment, And Management657 cited
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  • 2001Elicitation of Expert Opinions for Uncertainty and Risks440 cited
  • 1998Validation in Simulation: Various Positions in the Philosophy of Science210 cited
  • 1997Principles of simulation model validation, verification, and testing121 cited
  • 1999Statistical Validation of Engineering and Scientific Models: Background102 cited
  • 2002Statistical Validation of Engineering and Scientific Models: A Maximum Likelihood Based Metric51 cited
  • 2001Measuring the Predictive Capability of Computational Models: Principles and Methods, Issues and Illustrations47 cited

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  • 2003

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Verification, Validation, and Predictive Capability in Computational Engineering and Physics
73 cited
  • 2009Design and analysis for the Gaussian process model68 cited
  • 2018On the Statistical Formalism of Uncertainty Quantification38 cited
  • 2007Validated Model? Not So Fast. The Need for Model "Conditioning" as an Essential Addendum to Model Validation20 cited
  • 2008Multivariate approach to the thermal challenge problem17 cited
  • 2008A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics15 cited
  • 2020Industrial issues and solutions to statistical model improvement: a case study of an automobile steering column15 cited