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Statistical Adjustments to Engineering Models
10 references·5 citing·36 second hop
Statistical Adjustments to Engineering Models (2009)Statistical Adjustments to Engineering Mo…A Framework for Validation of Computer Models (2007)A Framework for Validation of…Statistics for experimenters: design, innovation, and discovery (2006)Statistics for experimenters:…Integrated Analysis of Computer and Physical Experiments (2004)Integrated Analysis of Comput…Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Experiments: Planning, Analysis, and Parameter Design Optimization (2001)Experiments: Planning, Analys…Experiments - Planning, Analysis and Parameter Design Optimization (2001)Experiments - Planning, Analy…Screening, Predicting, and Computer Experiments (1992)Screening, Predicting, and Co…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…A Useful Method For Model-Building (1962)A Useful Method For Model-Bui…BAYESIAN CALIBRATION WITH ADAPTIVE MODEL DISCREPANCY (2023)BAYESIAN CALIBRATION WITH ADA…Modulus prediction of buckypaper based on multi-fidelity analysis involving latent variables (2014)Modulus prediction of buckypa…Engineering-Driven Statistical Adjustment and Calibration (2014)Engineering-Driven Statistica…Regression-Based Inverse Distance Weighting With Applications to Computer Experiments (2011)Regression-Based Inverse Dist…The applications of statistical quantification techniques in nanomechanics and nanoelectronics (2010)The applications of statistic…Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments (1959)The 2k—pFractional Factorial Designs (1961)Experiments for Nonlinear Functions (R.A. Fisher Memorial Lecture) (1973)Experiments for Nonlinear Functions (1973)Design of Experiments for Estimating Enzyme and Pharmacokinetic Parameters (1981)The 2 k-p Fractional Factorial Designs Part I (2000)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Calibration, validation, and sensitivity analysis: What's what (2006)Measures of agreement between computation and experiment: Validation metrics (2006)Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)Statistical Methods for Meta-Analysis (1988)Construction of nested space-filling designs (2009)Small Sample Bayesian Designs for Complex High-Dimensional Models Based on Information Gained Using Fast Approximations (2009)CONSTRUCTION OF NESTED SPACE-FILLING DESIGNS (2012)Minimax and maximin distance designs (1990)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)A methodology for fitting and validating metamodels in simulation1Two anonymous referees' comments on the first draft lead to an improved organization of our paper.1 (2000)Reliability-based design optimization using kriging surrogates and subset simulation (2011)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)Experimental design in chromatography: A tutorial review (2012)Experimental design of supercritical fluid extraction – A review (2013)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)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)Chapter 17 Contingent Valuation (2005)Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. (2009)Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (2009)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)Response Surface Methodology (2002)Response-Surface Methods in R , Using rsm (2009)The generalization of Latin hypercube sampling (2015)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2006Statistics for experimenters: design, innovation, and discovery1,644 cited
  • 2001Experiments - Planning, Analysis and Parameter Design Optimization1,132 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 1992Screening, Predicting, and Computer Experiments633 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 2001Experiments: Planning, Analysis, and Parameter Design Optimization536 cited
  • 1962A Useful Method For Model-Building120 cited
  • 2004Integrated Analysis of Computer and Physical Experiments106 cited

Cited by

  • 2011Regression-Based Inverse Distance Weighting With Applications to Computer Experiments67 cited
  • 2014Engineering-Driven Statistical Adjustment and Calibration45 cited
  • 2014Modulus prediction of buckypaper based on multi-fidelity analysis involving latent variables17 cited
  • 2010The applications of statistical quantification techniques in nanomechanics and nanoelectronics12 cited
  • 2023BAYESIAN CALIBRATION WITH ADAPTIVE MODEL DISCREPANCY

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11 cited