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A framework for probabilistic model-based engineering and data synthesis
16 references·0 citing·29 second hop
A framework for probabilistic model-based engineering and data synthesis (2019)A framework for probabilistic model-based…Design and Analysis of Experiments (2017)Design and Analysis of Experi…Verification and validation of simulation models (2012)Verification and validation o…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Verification and Validation in Scientific Computing (2010)Verification and Validation i…DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)DAKOTA : a multilevel paralle…Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Choosing the Sample Size of a…A Framework for Validation of Computer Models (2007)A Framework for Validation of…Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…Reliability analysis—a review and some perspectives (2001)Reliability analysis—a review…Response Surface Methodology (1996)Response Surface MethodologyGlobal Sensitivity Analysis (1995)Global Sensitivity AnalysisIntroduction to Statistical Quality Control (1992)Introduction to Statistical Q…Minimax and maximin distance designs (1990)Minimax and maximin distance …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Decision Making for Leaders: The Analytical Hierarchy Process for Decisions in a Complex World (1982)Decision Making for Leaders: …Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Simulation Modeling and Analysis. (1983)Discrete-Event System Simulation (1984)Supply network topology and robustness against disruptions – an investigation using multi-agent model (2010)Proceedings of the 2017 Winter Simulation Conference (2017)System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach (2018)The Analytic Hierarchy Process—A Survey of the Method and its Applications (1986)PROMETHEE and AHP: The design of operational synergies in multicriteria analysis. (2003)Bayesian best-worst method: A probabilistic group decision making model (2019)Imprecise probabilities in engineering analyses (2013)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)Stochastic Kriging for Simulation Metamodeling (2009)A Review on Global Sensitivity Analysis Methods (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)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)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Exploratory designs for computational experiments (1995)An efficient algorithm for constructing optimal design of computer experiments (2004)Response Surface Methodology: A Retrospective and Literature Survey (2004)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Response Surfaces: Designs and Analyses (1997)Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives (2019)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources (2022)
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References

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766 cited
  • 2007A Framework for Validation of Computer Models656 cited
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