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Energies, 2023 In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin +4 more
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Distributional sensitivity analysis
Procedia - Social and Behavioral Sciences, 2010 AbstractAmong the uses for global sensitivity analysis is factor prioritization. A key assumption for this is that a given factor can, through further research, be fixed to some point on its domain. For factors containing epistemic uncertainty, this is an optimistic assumption, which can lead to inappropriate resource allocation.
Allaire, Douglas L., Willcox, Karen E.
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Sensitivity Analysis Without Assumptions [PDF]
Epidemiology, 2016 Unmeasured confounding may undermine the validity of causal inference with observational studies. Sensitivity analysis provides an attractive way to partially circumvent this issue by assessing the potential influence of unmeasured confounding on the causal conclusions.
Ding, Peng, VanderWeele, Tyler
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Infection and Drug Resistance, 2023 Hainan Wen,1 Shoujun Xie,1 Yanchao Liu,1 Yueyi Liang,1 Pan Zhang,1 Xiaohui Wang,1 Jianhui Li2 1Department of Clinical Laboratory, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, People’s Republic of China; 2Department of Preventive ...
Wen H +6 more
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Sensitivity analysis of Values at Risk [PDF]
Journal of Empirical Finance, 2000 The aim of this paper is to analyze the sensitivity of Value at Risk VaR with respect to portfolio allocation. We derive analytical expressions for the first and second derivatives of the VaR, and explain how they can be used to simplify statistical inference and to perform a local analysis of the VaR.
Gourieroux, Christian +2 more
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Analysis and Validation of Sensitivity in Torque-Sensitive Actuators
Actuators, 2023 Across different fields within robotics, there is a great need for lightweight, efficient actuators with human-like performance. Linkage-based passive variable transmissions and torque-sensitive transmissions have emerged as promising solutions to meet this need by significantly increasing actuator efficiency and power density, but their modeling and ...
Minh Tran, Lukas Gabert, Tommaso Lenzi
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WHAT IF (Sensitivity Analysis) [PDF]
Journal of Defense Resources Management, 2011 Sensitivity analysis represents such a well known and deeply analyzed subject that anyone to enter the field feels like not being able to add anything new.
Iulian N. BUJOREANU
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Principal Sensitivity Analysis [PDF]
, 2015 We present a novel algorithm (Principal Sensitivity Analysis; PSA) to analyze the knowledge of the classifier obtained from supervised machine learning techniques. In particular, we define principal sensitivity map (PSM) as the direction on the input space to which the trained classifier is most sensitive, and use analogously defined k-th PSM to define
Sotetsu Koyamada +3 more
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Sensitivity analysis of upscaling prediction of the mass flux at DNAPL contaminated sites
地质科技通报, 2023 Dense nonaqueous phase liquid (DNAPL) contamination is a growing problem. To assess the environmental risk of DNAPL-contaminated sites, the mass flux of the dissolved phase (mass flux) in the source zone of DNAPL contamination is often extrapolated using
Meiyu Song +3 more
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Sensitivity Analysis and Finances
Mercados y NegociosThe financial projections used in decision-making are associated with a degree of uncertainty regarding the correct choice of the hypotheses used or the certainty of the value of the variables, which is why it is necessary to place ourselves in several ...
Juan Gaytán Cortés
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