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2023
A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
Giorgio Giorgi +2 more
+5 more sources
A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
Giorgio Giorgi +2 more
+5 more sources
The sensitivity of sensitivity analysis
Political Science Research and Methods, 2018AbstractThis article evaluates the reliability of sensitivity tests. Using Monte Carlo methods we show that, first, the definition of robustness exerts a large influence on the robustness of variables. Second and more importantly, our results also demonstrate that inferences based on sensitivity tests are most likely to be valid if determinants and ...
Plümper, Thomas, Traunmüller, Richard
openaire +2 more sources
Operations Research, 1995
In applications of operations research models, decision makers must assess the sensitivity of outputs to imprecise values for some of the model's parameters. Existing analytic approaches for classic optimization models rely heavily on duality properties for assessing the impact of local parameter variations, parametric programming for examining ...
openaire +2 more sources
In applications of operations research models, decision makers must assess the sensitivity of outputs to imprecise values for some of the model's parameters. Existing analytic approaches for classic optimization models rely heavily on duality properties for assessing the impact of local parameter variations, parametric programming for examining ...
openaire +2 more sources
2014
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation.
PUNZO, VINCENZO +2 more
openaire +4 more sources
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation.
PUNZO, VINCENZO +2 more
openaire +4 more sources
Reduced sensitivity of SARS-CoV-2 variant Delta to antibody neutralization
Nature, 2021Delphine Planas +2 more
exaly
Dynamic Nuclear Polarization for Sensitivity Enhancement in Biomolecular Solid-State NMR
Chemical Reviews, 2022Thomas Biedenbänder +2 more
exaly
Sensitivity of infectious SARS-CoV-2 B.1.1.7 and B.1.351 variants to neutralizing antibodies
Nature Medicine, 2021Delphine Planas +2 more
exaly