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Space-Filling Designs for Computer Experiments
16 references·1 citing·31 second hop
Space-Filling Designs for Computer Experiments (2018)Space-Filling Designs for Computer Experi…Design and Analysis of Experiments (2017)Design and Analysis of Experi…Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Choosing the Sample Size of a…Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…Uniform Design: Theory and Application (2000)Uniform Design: Theory and Ap…Orthogonal Arrays (1999)Orthogonal ArraysOrthogonal Column Latin Hypercubes and Their Application in Computer Experiments (1998)Orthogonal Column Latin Hyper…Exploratory designs for computational experiments (1995)Exploratory designs for compu…Optimal Latin-hypercube designs for computer experiments (1994)Optimal Latin-hypercube desig…Orthogonal Array-Based Latin Hypercubes (1993)Orthogonal Array-Based Latin …Screening, Predicting, and Computer Experiments (1992)Screening, Predicting, and Co…Optimum Experimental Designs (1992)Optimum Experimental DesignsMinimax and maximin distance designs (1990)Minimax and maximin distance …Empirical Model-Building and Response Surfaces. (1988)Empirical Model-Building and …Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…Optimal Design (1980)Optimal DesignStatistics for Experimenters (1979)Statistics for ExperimentersThe Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Sampling Strategies for Computer Experiments (2001)An efficient algorithm for constructing optimal design of computer experiments (2004)Response Surface Methodology: A Retrospective and Literature Survey (2004)Optimum Designs in Regression Problems (1959)Designs for Computer Experiments (1989)Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)A distribution-free approach to inducing rank correlation among input variables (1982)A review of techniques for parameter sensitivity analysis of environmental models (1994)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Space-Filling Designs for Computer Experiments (2003)Kriging Metamodeling in Simulation: A Review (2007)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)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)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives (2019)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources (2022)Response Surfaces: Designs and Analyses (1997)Three-level meta-analysis of dependent effect sizes (2012)Overview of Modern Design of Experiments Methods for Computational Simulations (Invited) (2003)A review on design, modeling and applications of computer experiments (2006)Robust Design: An Overview (2006)
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References

  • 1979Statistics for Experimenters6,770 cited
  • 2017Design and Analysis of Experiments2,960 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1988Empirical Model-Building and Response Surfaces.1,919 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2005Design and Modeling for Computer Experiments1,151 cited
  • 1999Orthogonal Arrays1,021 cited
  • 2000Uniform Design: Theory and Application954 cited
  • 1993Orthogonal Array-Based Latin Hypercubes859 cited
  • 1992Optimum Experimental Designs816 cited
  • 2009Choosing the Sample Size of a Computer Experiment: A Practical Guide766 cited
  • 1994Optimal Latin-hypercube designs for computer experiments634 cited
  • 1992Screening, Predicting, and Computer Experiments633 cited
  • 1980Optimal Design572 cited
  • 1998Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments476 cited

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  • 2003The Design and Analysis of Computer Experiments2,219 cited