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Principles of Verification and Validation
6 references·0 citing·20 second hop
Principles of Verification and Validation (2015)Principles of Verification and ValidationOn practical problems with verification and validation of computational models (2009)On practical problems with ve…Guide for Verification and Validation in Computational Solid Mechanics (2009)Guide for Verification and Va…Verification, validation, and predictive capability in computational engineering and physics (2004)Verification, validation, and…Concepts of Model Verification and Validation (2004)Concepts of Model Verificatio…Verification and Validation in Computational Science and Engineering (1998)Verification and Validation i…Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Experimentation and Uncertainty Analysis for Engineers (1991)uBPMN: A BPMN extension for modeling ubiquitous business processes (2016)Operationalizing a concept: The systematic review of composite indicator building for measuring community disaster resilience (2017)Model Evaluation: An Adequacy-for-Purpose View (2020)Statistics for Experimenters (1979)Book Review: Statistical Principles in Experimental Design (1992)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Simulation Modeling and Analysis. (1983)Geostatistics: Modeling Spatial Uncertainty (2000)Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation (2004)Calibration, validation, and sensitivity analysis: What's what (2006)Model validation and predictive capability for the thermal challenge problem (2007)Structural Reliability Analysis and Prediction (2017)GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT (2006)Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A Bayesian approach for quantification of model uncertainty (2010)Toward a Better Understanding of Model Validation Metrics (2011)
this work references cited by second hop

References

  • 1988Empirical Model Building and Response Surfaces5,253 cited
  • 1998Verification and Validation in Computational Science and Engineering2,160 cited
  • 2004Verification, validation, and predictive capability in computational engineering and physics724 cited
  • 2009Guide for Verification and Validation in Computational Solid Mechanics390 cited
  • 2004Concepts of Model Verification and Validation273 cited
  • 2009On practical problems with verification and validation of computational models15 cited

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