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Reallocation of testing resources in validating optimal designs using local domains
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Reallocation of testing resources in validating optimal designs using local domains (2014)Reallocation of testing resources in vali…Computer Model Validation with Functional Output (2015)Computer Model Validation wit…Concurrent Design Optimization and Calibration-Based Validation Using Local Domains Sized by Bootstrapping (2012)Concurrent Design Optimizatio…A variable-size local domain approach for increased design confidence in simulation-based optimization (2012)A variable-size local domain …Verification and Validation in Scientific Computing (2010)Verification and Validation i…Design and Modeling for Computer Experiments by K.-T. Fang, R. Li and A. Sudjianto (2006)Design and Modeling for Compu…Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…Design and Modeling for Computer Experiments (Computer Science & Data Analysis) (2005)Design and Modeling for Compu…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction (1993)Bayesian Design and Analysis …Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction (1991)Bayesian design and analysis …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Verification, validation, and predictive capability in computational engineering and physics (2004)Verification and validation of simulation models (2012)Minimax and maximin distance designs (1990)Experimental Design and Observation for Large Systems (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Optimal experimental design and some related control problems (2007)Blind Kriging: A New Method for Developing Metamodels (2008)Verification and Validation in Computational Science and Engineering (1998)Nested Latin hypercube designs (2009)A Bayesian approach for quantification of model uncertainty (2010)Improving Identifiability in Model Calibration Using Multiple Responses (2012)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017)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)Stochastic Kriging for Simulation Metamodeling (2009)A Review on Global Sensitivity Analysis Methods (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)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)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Design and analysis of computer experiments (2010)Optimal Latin hypercube designs for the Kullback–Leibler criterion (2010)Space-filling properties of good lattice point sets (2015)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Sensitivity analysis: A review of recent advances (2015)Nonlinear methods for inverse statistical problems (2010)Global sensitivity analysis using complex linear models (2011)OPTIMAL UNCERTAINTY QUANTIFICATION OF A RISK MEASUREMENT FROM A THERMAL-HYDRAULIC CODE USING CANONICAL MOMENTS (2020)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 2005Design and Modeling for Computer Experiments1,135 cited
  • 1993Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction299 cited
  • 1991Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction276 cited
  • 2015Computer Model Validation with Functional Output206 cited
  • 2006Design and Modeling for Computer Experiments by K.-T. Fang, R. Li and A. Sudjianto82 cited
  • 2005Design and Modeling for Computer Experiments (Computer Science & Data Analysis)79 cited
  • 2012Concurrent Design Optimization and Calibration-Based Validation Using Local Domains Sized by Bootstrapping14 cited
  • 2012A variable-size local domain approach for increased design confidence in simulation-based optimization12 cited

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