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Bayesian predictive optimization of multiple and profile response systems in the process industry: A review and extensions
16 references·0 citing·26 second hop
Bayesian predictive optimization of multiple and profile response systems in the process industry: A review and extensions (2020)Bayesian predictive optimization of multi…Experiments (2021)ExperimentsBayesian Modeling and Optimization of Functional Responses Affected by Noise Factors (2012)Bayesian Modeling and Optimiz…The ICH Q8 Definition of Design Space: A Comparison of the Overlapping Means and the Bayesian Predictive Approaches (2010)The ICH Q8 Definition of Desi…Response surface methodology (2010)Response surface methodologyA Bayesian Model-Averaging Approach for Multiple-Response Optimization (2010)A Bayesian Model-Averaging Ap…Finding Design Space and a Reliable Operating Region Using a Multivariate Bayesian Approach with Experimental Design (2009)Finding Design Space and a Re…A Bayesian Reliability Approach to Multiple Response Optimization with Seemingly Unrelated Regression Models (2009)A Bayesian Reliability Approa…Process Optimization: A Statistical Approach (2008)Process Optimization: A Stati…A Bayesian Approach to the ICH Q8 Definition of Design Space (2008)A Bayesian Approach to the IC…Process optimization a statistical approach (2007)Process optimization a statis…Bayesian Process Monitoring, Control and Optimization (2006)Bayesian Process Monitoring, …Model-Robust Process Optimization Using Bayesian Model Averaging (2005)Model-Robust Process Optimiza…A Posterior Predictive Approach to Multiple Response Surface Optimization (2004)A Posterior Predictive Approa…A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables (2004)A Bayesian Approach for Multi…Response Surface Methodology (1996)Response Surface MethodologySimultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Applied Statistical Decision Theory (1962)Response Surfaces: Designs and Analyses (1997)A robust desirability function method for multi-response surface optimization considering model uncertainty (2012)A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (2015)Industrial Quality Control. (1946)Robust Parameter Design: A Review (2003)Statistics in Pharmaceutical Development and Manufacturing (2009)An Optimization-Based Framework to Define the Probabilistic Design Space of Pharmaceutical Processes with Model Uncertainty (2019)Statistics for Experimenters (1979)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)Simulation and the Monte Carlo Method (2016)Artificial Intelligence-Enhanced Predictive Insights for Advancing Financial Inclusion: A Human-Centric AI-Thinking Approach (2020)The economically designed two-sided Bayesian control chart (2006)Monitoring univariate processes using control charts: Some practical issues and advice (2023)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Statistical testing of optimality conditions in multiresponse simulation-based optimization (2008)Reliability-based Design Optimization of Laminated Composite Structures under Delamination and Material Property Uncertainties (2021)Response surface methodology for advanced manufacturing technology optimization: theoretical fundamentals, practical guidelines, and survey literature review (2019)Blind Kriging: A New Method for Developing Metamodels (2008)Optimal Sliced Latin Hypercube Designs (2014)Designing Valid and Reliable Vignette Experiments for Survey Research: A Case Study on the Fair Gender Income Gap (2017)
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  • 2009Finding Design Space and a Reliable Operating Region Using a Multivariate Bayesian Approach with Experimental Design

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38 cited
  • 2012Bayesian Modeling and Optimization of Functional Responses Affected by Noise Factors31 cited
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