Results 31 to 40 of about 1,270,069 (328)
Remote Sensing, 2023 Quantification of hydrologic model prediction uncertainty for various flow quantiles is of great importance for water resource planning and management. Thus, this study is designed to assess the effect of subbasin spatial scale on the hydrological model ...
Bahru M. Gebeyehu +3 more
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Control of the lifecycle of a technological complex for the rectification of multicomponent mixtures under conditions of parameter uncertainty [PDF]
E3S Web of Conferences, 2023 Input parameter uncertainty is paid more attention among such parameters as parameter uncertainty, model uncertainty, choice uncertainty under variability, spatial variability uncertainty, temporal variability uncertainty, inter-site variability ...
Avazov Yusuf +3 more
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Robust Mixed H2/H∞ Controller Design for Energy Routers in Energy Internet
Energies, 2019 In this paper, a class of mixed H2/H∞ controller is designed for an energy router (ER) within the scenario of an energy Internet (EI). The considered ER is assumed to have access with photovoltaic panels, wind turbine generators, micro-turbines, fuel ...
Haochen Hua +4 more
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Dynamical Uncertainty Propagation with Noisy Quantum Parameters
Physical Review Letters, 2022 Many quantum technologies rely on high-precision dynamics, which raises the question of how these are influenced by the experimental uncertainties that are always present in real-life settings. A standard approach in the literature to assess this is Monte Carlo sampling, which suffers from two major drawbacks.
Mogens Dalgaard +2 more
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On the Use of Information Theory to Quantify Parameter Uncertainty in Groundwater Modeling
Entropy, 2013 We applied information theory to quantify parameter uncertainty in a groundwater flow model. A number of parameters in groundwater modeling are often used with lack of knowledge of site conditions due to heterogeneity of hydrogeologic properties and ...
Alston Noronha, Jejung Lee
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Parameter Uncertainty and Residual Estimation Risk [PDF]
Journal of Risk and Insurance, 2015 AbstractThe notion of residual estimation risk is introduced to quantify the impact of parameter uncertainty on capital adequacy, for a given risk measure and capital estimation procedure. Residual risk equals the risk measure applied to the difference between a random loss and the corresponding capital estimator.
BIGNOZZI, VALERIA, Tsanakas, Andreas
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Generalized uncertainty relations: Theory, examples, and Lorentz invariance [PDF]
, 1995 The quantum-mechanical framework in which observables are associated with Hermitian operators is too narrow to discuss measurements of such important physical quantities as elapsed time or harmonic-oscillator phase.
Braunstein, Samuel L. +2 more
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Welfare-Maximizing Monetary Policy Under Parameter Uncertainty [PDF]
SSRN Electronic Journal, 2007 This paper examines welfare-maximizing monetary policy in an estimated micro-founded general equilibrium model of the U.S. economy where the policymaker faces uncertainty about model parameters. Uncertainty about parameters describing preferences and technology implies not only uncertainty about the dynamics of the economy.
Thomas Laubach +2 more
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Axioms, 2023 This manuscript explores the analysis of passivity and synchronization criteria for a complex fractional-order dynamical network model with derivative couplings and time-varying delays. The passivity problem of the proposed network model is deduced using
S. Aadhithiyan +4 more
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Parameter Uncertainty in the Kalman--Bucy Filter [PDF]
SIAM Journal on Control and Optimization, 2019 In standard treatments of stochastic filtering one first has to estimate the values of the parameters of the model. Simply running the filter without considering the reliability of this estimate does not take into account this additional source of statistical uncertainty.
Allan, A, Cohen, S
openaire +5 more sources