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Uncertainty in a monthly water balance model using the generalized likelihood uncertainty estimation methodology
(2015)
Hydrological models are simplified representations of natural processes and subject to errors. Uncertainty bounds are a commonly used way to assess the impact of an input or model architecture uncertainty in model outputs. ...
Uncertainty in a monthly water balance model using the generalized likelihood uncertainty estimation methodology
(2015)
Hydrological models are simplified representations of natural processes and subject to errors. Uncertainty bounds are a commonly used way to assess the impact of an input or model architecture uncertainty in model outputs. ...
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The ...
Metodologia de cálculo de incertezas de medição para uma bancada dinamométrica para motores de combustão interna
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2023-02-16)
Measurement uncertainties are related to experiments and measurement instruments. They quantify the reliability of the experiment, that is, the greater the uncertainty, the lower the reliability of the result. According ...
Robustness and stabilization properties of monetary policy rules in Brazil
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2001-05)
Based on three versions of a small macroeconomic model for Brazil, this paper presents empirical evidence on the effects of parameter uncertainty on monetary policy rules and on the robustness of optimal and simple rules ...
Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design
(TAYLOR & FRANCIS LTD, 2006)
A number of investigators have pointed out that products and processes lack quality because of performance inconsistency, which is often due to uncontrollable parameters in the manufacturing process or product usage. Robust ...
Uncertainties propagation and global sensitivity analysis of the frequency response function of piezoelectric energy harvesters
(Institute of Physics, 2017)
The goal of this work is to describe a framework to propagate uncertainties in piezoelectricenergy harvesters(PEHs). These uncertainties are related to the incomplete knowledge of themodel parameters. The framework presented ...
A note on non-linear phenomena in a non-ideal oscillator, with a snap-through truss absorber, including parameter uncertainties
(2013-03-01)
This work considers the vibrating system that consists of a snap-through truss absorber coupled to an oscillator under excitation of an electric motor with an eccentricity and limited power, characterizing a non-ideal ...
A note on non-linear phenomena in a non-ideal oscillator, with a snap-through truss absorber, including parameter uncertainties
(2013-03-01)
This work considers the vibrating system that consists of a snap-through truss absorber coupled to an oscillator under excitation of an electric motor with an eccentricity and limited power, characterizing a non-ideal ...
Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ‘ESS
(Centro Latinoamericano de Estudios en Informática, 2014)