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Designing experiments for robust-optimization problems: the V s -optimality criterion
16 references·1 citing·28 second hop
Designing experiments for robust-optimization problems: the V s -optimality criterion (2006)Designing experiments for robust-optimiza…Introduction to quality engineering.... (2014)Introduction to quality engin…Robust Discrete Optimization and Its Applications. (1998)Robust Discrete Optimization …Robust Convex Optimization (1998)Robust Convex OptimizationRobust Discrete Optimization and Its Applications (1997)Robust Discrete Optimization …Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…Response Surface Methodology (1996)Response Surface MethodologyOptimum Experimental Designs (1993)Optimum Experimental DesignsOptimum Experimental Designs (1992)Optimum Experimental DesignsQuality Engineering Using Robust Design (1991)Quality Engineering Using Rob…Quality Engineering Using Robust Design (1990)Quality Engineering Using Rob…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Empirical Model-Building and Response Surfaces. (1988)Empirical Model-Building and …Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Statistics for Experimenters (1979)Statistics for ExperimentersTheory of Optimal Experiments. (1972)Theory of Optimal Experiments.Theory of optimal experiments (1972)Theory of optimal experimentsProbabilistic robust design for covariance minimization of nonlinear system (2012)Probabilistic robust design f…Design of Experiments (1936)On a Measure of the Information Provided by an Experiment (1956)Minimax and maximin distance designs (1990)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)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)Statistics for experimenters : an introduction to design, data analysis, and model building / George E.P. Box, William G. Hunter, J. Stuart Hunter (1978)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Taguchi's Parameter Design: A Panel Discussion (1992)Response Surface Methodology: A Retrospective and Literature Survey (2004)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)Robust Optimization of Large-Scale Systems (1995)The Price of Robustness (2004)Theory and Applications of Robust Optimization (2010)Theory and Applications of Robust Optimization (2011)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Interaction Graphs: Graphical Aids for Planning Experiments (1990)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)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)Design and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)Response surface methodology (2010)Global sensitivity analysis using polynomial chaos expansions (2007)Constructing Experimental Designs for Discrete-Choice Experiments: Report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force (2013)Response Surfaces: Designs and Analyses (1997)
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References

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2012
Probabilistic robust design for covariance minimization of nonlinear system
5 cited