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Comparing D-optimal designs with common mixture experimental designs for logistic regression
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Comparing D-optimal designs with common mixture experimental designs for logistic regression (2019)Comparing D-optimal designs with common m…Response Surface Methodology (2017)Response Surface MethodologyI-Optimal Design of Mixture Experiments (2016)I-Optimal Design of Mixture E…Maximum projection designs for computer experiments (2015)Maximum projection designs fo…Optimal Design of Experiments: A Case Study Approach (2012)Optimal Design of Experiments…Optimal Design of Experiments (2011)Optimal Design of ExperimentsExperiments with Mixtures: Designs, Models, and the Analysis of Mixture Data (2003)Experiments with Mixtures: De…Response Surface Methodology (1996)Response Surface MethodologyBayesian Experimental Design: A Review (1995)Bayesian Experimental Design:…The Use of a Canonical Form in the Construction of Locally Optimal Designs for Non-Linear Problems (1992)The Use of a Canonical Form i…Optimal Bayesian design applied to logistic regression experiments (1989)Optimal Bayesian design appli…Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data. (1984)Experiments with Mixtures: De…Theory of Optimal Experiments. (1972)Theory of Optimal Experiments.Theory of optimal experiments (1972)Theory of optimal experimentsOptimum Designs in Regression Problems, II (1961)Optimum Designs in Regression…Optimum Designs in Regression Problems (1959)Optimum Designs in Regression…Experiments with Mixtures (1958)Experiments with MixturesApplied Statistical Decision Theory (1962)Design and Analysis of Computer Experiments (1989)Response surface methodology (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Locally Optimal Designs for Estimating Parameters (1953)On a Measure of the Information Provided by an Experiment (1956)Expected Information as Expected Utility (1979)Recent Advances in Nonlinear Experimental Design (1989)Response Surface Methodology—Current Status and Future Directions (1999)Multi-Factor Experimental Designs for Exploring Response Surfaces (1957)Optimum Experimental Designs (1959)General Equivalence Theory for Optimum Designs (Approximate Theory) (1974)Minimax and maximin distance designs (1990)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)Space-filling designs for computer experiments: A review (2016)Least squares polynomial chaos expansion: A review of sampling strategies (2017)Uniform projection designs (2018)Use of the Simplex Design in the Study of Joint Action of Related Hormones (1955)Optimum Experimental Designs (1992)Response Surfaces: Designs and Analyses (1997)Uniform Design: Theory and Application (2000)Experimental design in chemistry: A tutorial (2009)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)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Response Surface Methodology: Process and Product Optimization Using Designed Experiments 4th edition (2017)Optimal experimental design (2018)Response surface methodology for advanced manufacturing technology optimization: theoretical fundamentals, practical guidelines, and survey literature review (2019)
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