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THE RELIABILITY OF COMPUTER PREDICTIONS: CAN THEY BE TRUSTED?
6 references·1 citing·28 second hop
THE RELIABILITY OF COMPUTER PREDICTIONS: CAN THEY BE TRUSTED? (2005)THE RELIABILITY OF COMPUTER PREDICTIONS: …Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation (2004)Solving elliptic boundary val…Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Galerkin Finite Element Appro…An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)An exploration of alternative…On solving elliptic stochastic partial differential equations (2002)On solving elliptic stochasti…Elicitation of Expert Opinions for Uncertainty and Risks (2001)Elicitation of Expert Opinion…Verification and Validation in Computational Science and Engineering (1998)Verification and Validation i…Multivariate approach to the thermal challenge problem (2008)Multivariate approach to the …Random vibration and statistical linearization (1990)Stochastic Finite Elements: A Spectral Approach (1991)Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations (2004)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)An Introduction to Computational Stochastic PDEs (2014)Fuzzy sets (1965)Fuzzy sets (1996)Karhunen–Loève approximation of random fields by generalized fast multipole methods (2006)Stochastic model reduction for chaos representations (2007)The Logic of Scientific Discovery (2013)Stochastic finite element methods for partial differential equations with random input data (2014)Simulation Modeling and Analysis. (1983)Verification, validation, and predictive capability in computational engineering and physics (2004)Thermal challenge problem: Summary (2008)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)On The Quantitative Definition of Risk (1981)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Reliability-Based Design With the Mixture of Random and Interval Variables (2005)Engineering computation under uncertainty – Capabilities of non-traditional models (2007)Some considerations on the treatment of uncertainties in risk assessment for practical decision making (2010)Stochastic Differential Equations: An Introduction with Applications. (1987)Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators (2005)On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data (2006)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)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)
this work references cited by second hop

References

  • 1998Verification and Validation in Computational Science and Engineering2,153 cited
  • 2004Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations869 cited
  • 2001Elicitation of Expert Opinions for Uncertainty and Risks440 cited
  • 2004An exploration of alternative approaches to the representation of uncertainty in model predictions362 cited
  • 2004Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation345 cited
  • 2002On solving elliptic stochastic partial differential equations198 cited

Cited by

  • 2008Multivariate approach to the thermal challenge problem17 cited

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