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Competitive comparison of optimal designs of experiments for sampling-based sensitivity analysis
16 references·4 citing·35 second hop
Competitive comparison of optimal designs of experiments for sampling-based sensitivity analysis (2013)Competitive comparison of optimal designs…Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling (2011)Efficient space-filling and n…Correlation control in small-sample Monte Carlo type simulations I: A simulated annealing approach (2009)Correlation control in small-…An algorithm for fast optimal Latin hypercube design of experiments (2009)An algorithm for fast optimal…Maximin Latin Hypercube Designs in Two Dimensions (2007)Maximin Latin Hypercube Desig…Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes (2007)Efficient Nearly Orthogonal a…Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…Sensitivity analysis in conjunction with evidence theory representations of epistemic uncertainty (2006)Sensitivity analysis in conju…A comparison of experimental designs in the development of a neural network simulation metamodel (2004)A comparison of experimental …Formulation of the Audze–Eglais Uniform Latin Hypercube design of experiments (2003)Formulation of the Audze–Egla…Exploratory designs for computational experiments (1995)Exploratory designs for compu…D-optimal designs (1995)D-optimal designsA Simple Bayesian Modification of D-Optimal Designs to Reduce Dependence on an Assumed Model (1994)A Simple Bayesian Modificatio…A Simple Bayesian Modification of D -Optimal Designs to Reduce Dependence on an Assumed Model (1994)A Simple Bayesian Modificatio…Minimax and maximin distance designs (1990)Minimax and maximin distance …Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Small sample sensitivity anal…Design and Analysis of Experiments. (1978)Design and Analysis of Experi…Global sensitivity analysis using polynomial chaos expansion enhanced Gaussian process regression method (2023)Global sensitivity analysis u…gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective (2021)gPCE-Based Stochastic Inverse…Estimates of the coverage of parameter space by Latin Hypercube and Orthogonal Array-based sampling (2017)Estimates of the coverage of …Modification of the Audze–Eglājs criterion to achieve a uniform distribution of sampling points (2016)Modification of the Audze–Egl…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Simulation of simply cross correlated random fields by series expansion methods (2007)FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module (2013)Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification (2015)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Computer Aided Design of Experiments (1969)Theory of optimal experiments (1972)Optimizing Drug Delivery Systems Using Systematic "Design of Experiments." 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References

  • 1978Design and Analysis of Experiments.1,728 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment837 cited
  • 1995D-optimal designs433 cited
  • 2007Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes323 cited
  • 2009An algorithm for fast optimal Latin hypercube design of experiments317 cited
  • 2011Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling226 cited
  • 2009Correlation control in small-sample Monte Carlo type simulations I: A simulated annealing approach211 cited
  • 2007Maximin Latin Hypercube Designs in Two Dimensions181 cited
  • 1994A Simple Bayesian Modification of D -Optimal Designs to Reduce Dependence on an Assumed Model174 cited
  • 2004A comparison of experimental designs in the development of a neural network simulation metamodel131 cited
  • 2006Sensitivity analysis in conjunction with evidence theory representations of epistemic uncertainty113 cited
  • 2003

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Formulation of the Audze–Eglais Uniform Latin Hypercube design of experiments
111 cited
  • 1994A Simple Bayesian Modification of D-Optimal Designs to Reduce Dependence on an Assumed Model108 cited
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    • 2017Estimates of the coverage of parameter space by Latin Hypercube and Orthogonal Array-based sampling46 cited
    • 2016Modification of the Audze–Eglājs criterion to achieve a uniform distribution of sampling points32 cited
    • 2021gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective20 cited
    • 2023Global sensitivity analysis using polynomial chaos expansion enhanced Gaussian process regression method12 cited