Factorial sampling plans for preliminary computational experiments

Keywords

Representation (politics), Computer science, Computational complexity theory, Monotonic function, Mathematical optimization

References

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• AUTHOR'S RESPONSE TO DISCUSSIONSF. E. Satterthwaite — 1959
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• Random Balance ExperimentationF. E. Satterthwaite — 1959
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• One-at-a-Time PlansCuthbert Daniel — 1973
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• Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer ExperimentsCarla Currin, Toby J. Mitchell, Max D. Morris — 1991
• A Study of the Group Screening MethodG. S. Watson — 1961
• On the Experimental Attainment of Optimum ConditionsGeorge E. P. Box, Kerry Wilson — 1951
• Saturated Sequential Factorial DesignsSteve R. Webb — 1968
• A Study of the Group Screening MethodG. S. Watson — 1961
• Discussion of the Papers of Messrs. Satterthwaite and BudneW. J. Youden, Oscar Kempthorne, John W. Tukey — 1959
• Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer CodeMichael D. McKay, Richard J. Beckman, W. J. Conover — 1979
• Random Balance ExperimentationF. E. Satterthwaite — 1959
• Small sample sensitivity analysis techniques for computer models.with an application to risk assessmentRonald L. Iman, W. J. Conover — 1980

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• A modelling analysis of pertussis transmission and vaccination in Rio de Janeiro, Brazil定信 鷲見 — 2005
• Cost optimisation of analytical software quality assuranceStefan Wagner — 2007
• Using earth observation and ground-based data to improve modelled CO2 and CH4 fluxes from peatlandsN. Macbean — 2011
• Cell death, perfusion and electrical parameters are critical in models of hepatic radiofrequency ablationMichael Sechler, Janelle Greenberg — 2015
• Optimization and optimal control of plant growth : application of GreenLab model for decision aid in agriculture.Rui Qi — 2010
• Modelling ecological and human exposure to POPs in Venice lagoon - Part II: Quantitative uncertainty and sensitivity analysis in coupled exposure models.内尾祐司, 葛尾信弘, 松井譲 — 2016
• Conception multi-physique et multi-objectif des cœurs de RNR-Na hétérogènes : développement d’une méthode d’optimisation sous incertitudesKarim Ammar — 2014
• Dynamics of runoff and sediment trapping performance of vegetative filter strips: Run-on experiments and modeling.Luc Sels — 2017
• Aide à la décision multicritère pour la prescription de scénarios d'amélioration énergétique via une approche globaleMathieu Thorel — 2014
• The sensitivity of the forest carbon budget shifts across processes along with stand development and climate changeChaiGenxiang, XuKejun — 2019
• Diagnostic du colmatage des générateurs de vapeur à l'aide de modèles physiques et statistiquesSylvain Girard — 2012
• Emulation of random output simulatorsAlexis Boukouvalas — 2010
• A human PBPK model for ethanol describing inhibition of gastric motilityGeorge Loizou, Martin Spendiff — 2004
• Simulating NIRS and MRS Measurements During Cerebral Hypoxia-Ischaemia in Piglets Using a Computational ModelTharindi Hapuarachchi, Tracy Moroz, Alan Bainbridge — 2014
• Thermal comfort in residential buildings: Sensitivity to building parameters and occupancyAnastasios Ioannou, Laure Itard — 2014
• System of Systems conceptual design methodology for space explorationDiego Cardile — 2013
• Identification of sensitive enzymes in the photosynthetic carbon metabolism.Renato Umeton, Giovanni Stracquadanio, Alessio Papini — 2012
• Investigating Bayesian robust experimental design with principles of global sensitivity analysisFei He, Hong Yue, Martin Brown — 2010

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