Sentence examples for methodology for uncertainty from inspiring English sources

From this, a methodology for uncertainty fragmentation is developed.

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.

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

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.

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

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.

This paper proposes a new methodology for incorporating uncertainties into conventional QRA using the concept of confidence level.

This paper proposes a new methodology for incorporating uncertainties using fuzzy concepts into conventional risk assessment frameworks.

We develop a methodology for quantifying uncertainties in field-scale mass flow and average concentration estimations, using integral pumping tests (IPTs), where the contaminant concentration is measured as a function of time in a pumping well.