Sensitivity analysis: A review of recent advancesEmanuele Borgonovo, Elmar Plischke A2015-06-19articleEuropean Journal of Operational Research1,172 citationsclosedNo readable copy stored yet — this record is metadata only.Simulation Techniques and ApplicationsProbabilistic and Robust Engineering DesignComplex Systems and Decision MakingAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 1,172 citations exist upstream.References1961Risk, Ambiguity, and the Savage Axioms1991Factorial Sampling Plans for Preliminary Computational Experiments2004The Price of Robustness2003The Design and Analysis of Computer Experiments2005A Smooth Model of Decision Making under Ambiguity1937La prévision : ses lois logiques, ses sources subjectives2007Kriging metamodeling in simulation: A review2001Design and Analysis of ExperimentsCited by2016Sensitivity analysis of environmental models: A systematic review with practical workflow2015Risk assessment and risk management: Review of recent advances on their foundation2020The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support2018Design and Analysis of Simulation Experiments2020Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study2016Regression and Kriging metamodels with their experimental designs in simulation: A review2020Sensitivity analysis methods in the biomedical sciences2017Improving risk characterisations in practical situations by highlighting knowledge aspects, with applications to risk matrices