Sentence examples for methodologies for uncertainty from inspiring English sources

GLUE is one of the most commonly used informal methodologies for uncertainty estimation in hydrological modelling.

From this, a methodology for uncertainty fragmentation is developed.

A methodology for uncertainty analysis is described according to the International Organization for Standardization ISOO) Guidance for Uncertainties in Measurement (GUM).

In this paper a Monte Carlo based methodology for uncertainty quantification that combines the building simulation and the cost-benefit calculation is developed and demonstrated.

In this way, this paper presents a methodology for uncertainty and sensitivity analysis applied to the prediction of sunlit area on building exterior surfaces with shading devices.

This paper proposes a Monte Carlo based methodology for uncertainty quantification that combines parametric building simulation and LCC analysis, showing a great potential in the possibility of combining several EEMs and undertake the uncertainty calculation with low computational costs and high accuracy of the result.

While accounting for all possible scenarios is seldom feasible, many recent methodologies allow accounting for uncertainty when analyzing data.

The proposed methodology accounts for uncertainties in the strength demand, structural capacity, and corrosion models, as well as uncertainties in environmental conditions, material properties, and structural geometry.

The proposed methodology accounts for uncertainties in the model parameters as well as physical model inadequacies, providing estimates of the rate constant that reflect both types of uncertainties.

Two examples are used to illustrate the proposed methodology for model uncertainty characterisation, with insights, discussions, and comparison with previous methods.

The primary intent of this research is to identify and demonstrate a quantitative methodology for assessing uncertainty in a Physics-of-Failure (PoF) model of a vibrating environment.