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Rethinking the Optimal Response Surface Design for a First-Order Model with Two-Factor Interactions, When Protecting against Curvature
12 references·0 citing·37 second hop
Rethinking the Optimal Response Surface Design for a First-Order Model with Two-Factor Interactions, When Protecting against Curvature (2012)Rethinking the Optimal Response Surface D…Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier (2011)Optimization of Designed Expe…A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects (2011)A Class of Three-Level Design…Model-Robust Optimal Designs: A Genetic Algorithm Approach (2004)Model-Robust Optimal Designs:…Comparison of designs for computer experiments (2004)Comparison of designs for com…An Experimental Design Criterion for Minimizing Meta-Model Prediction Errors Applied to Die Casting Process Design (2003)An Experimental Design Criter…Experiments with Mixtures (2002)Experiments with MixturesResponse surface methodology: Process and product optimization using designed experiments (1997)Response surface methodology:…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…A Simple Bayesian Modification of D -Optimal Designs to Reduce Dependence on an Assumed Model (1994)A Simple Bayesian Modificatio…Experiments with Mixtures (1992)Experiments with MixturesExperiments with Mixtures: Designs, Models, and the Analysis of Mixture Data. (1984)Experiments with Mixtures: De…Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments 4th edition (2017)Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives (2019)Central Composite Design for Response Surface Methodology and Its Application in Pharmacy (2021)Statistics for Experimenters (1979)Design and Analysis of Experiments (1992)Follow-Up Designs to Resolve Confounding in Multifactor Experiments (1996)Estimating Expected Information Gains for Experimental Designs With Application to the Random Fatigue-Limit Model (2003)Designs for Generalized Linear Models With Several Variables and Model Uncertainty (2006)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)Computer experiments: a review (2010)Latin hypercube sampling with inequality constraints (2010)Efficient Designs With Minimal Aliasing (2011)A Basis for the Selection of a Response Surface Design (1959)Optimum Design of Experiments for Statistical Inference (2012)I-Optimal Design of Mixture Experiments (2016)A desirability function method for optimizing mean and variability of multiple responses using a posterior preference articulation approach (2018)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Uniform Design: Theory and Application (2000)Statistical designs and response surface techniques for the optimization of chromatographic systems (2007)Experimental design in chemistry: A tutorial (2009)Design and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)A new approach to the construction of optimal designs (1993)The optimal mixture design of experiments: Alternative method in optimizing the aqueous phase composition of a microemulsion (2011)Statistical Principles for the Design of Experiments (2012)Response Surface Methodology: A Retrospective and Literature Survey (2004)Quality by design case study: An integrated multivariate approach to drug product and process development (2009)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Fraction of Design Space to Assess Prediction Capability of Response Surface Designs (2003)Robust Parameter Design: A Review (2003)Design of experiments (DoE) in pharmaceutical development (2017)
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References

  • 1996Response Surface Methodology: Process and Product Optimization Using Designed Experiments9,540 cited
  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 1997Response surface methodology: Process and product optimization using designed experiments1,344 cited
  • 1984Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data.909 cited
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  • 2011A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects485 cited
  • 1992Experiments with Mixtures268 cited
  • 1994A Simple Bayesian Modification of D -Optimal Designs to Reduce Dependence on an Assumed Model174 cited
  • 2011Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier162 cited
  • 2004Comparison of designs for computer experiments105 cited
  • 2004Model-Robust Optimal Designs: A Genetic Algorithm Approach82 cited
  • 2003An Experimental Design Criterion for Minimizing Meta-Model Prediction Errors Applied to Die Casting Process Design41 cited

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