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Generalized expressions of second and third order for the evaluation of standard measurement uncertainty
(2011)
The Guide to the Expression of Uncertainty in Measurement (GUM) requires the use of a
first-order Taylor series expansion for propagating uncertainties. However, when the mea-surement function is strongly non-linear the ...
Uncertainty estimation of anions and cations measured by ion chromatography in fine urban ambient particles (PM2.5)
(Springer, 2011-11-19)
The present work presents a measurement
uncertainty evaluation according to Guide to the Expression
of Uncertainty in Measurement (GUM) of the
concentration of the cations K? and Li? and anions NO3
-2
and SO4
-2 in ...
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. ...
On the robustness of structural risk optimization with respect to epistemic uncertainties.
(Redding, 2012)
In the context of structural design, risk optimization allows one to find a proper point of balance between the concurrent goals of economy and safety. Risk optimization involves the minimization of total expected costs, ...
Generalized expressions of second and third order for the evaluation of standard measurement uncertainty
(2011)
The Guide to the Expression of Uncertainty in Measurement (GUM) requires the use of a first-order Taylor series expansion for propagating uncertainties. However, when the measurement function is strongly non-linear the use ...
Mid-term planning optimization model with sales contracts under demand uncertainty
(Pergamon-Elsevier Science Ltd, 2012-12-20)
Uncertainty modeling is a challenging topic in supply chain and operation management. When planning material purchase and stock levels, demand uncertainty could have an important impact on the plan results and its feasibility. ...
Beyond Landau-Pollak and entropic inequalities: Geometric bounds imposed on uncertainties sums
(American Physical Society, 2015-02-17)
In this paper we propose generalized inequalities to quantify the uncertainty principle. We deal with two observables with finite discrete spectra described by positive operator-valued measures (POVM) and with systems in ...
Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars
This paper introduces an uncertainty model for
the quantitatively estimate precipitation using weather radars.
The model considers various key aspects associated to radar
calibration, attenuation, and the tradeoff between ...