Sentence examples for evaluated uncertainties from inspiring English sources

Three independent components of the Type A evaluated uncertainties are derived.

Herein, we used a proximal GPR method based on full-waveform inversion of ultra-wideband radar data for mapping soil moisture and we evaluated uncertainties in the soil moisture maps by three methods.

The deviations of the activity concentration values of coincidence and TDCR measurements from the anticoincidence result were 1.7% and 0.63%, respectively, which were within experimental evaluated uncertainties at ~95% level of confidence (coverage factor k = 2).

As a critical feature, FFCM-1 not only reconciles a large body of fundamental combustion data, it also has rigorously evaluated uncertainties for the rate coefficients, the combustion experimental targets used for model optimization and uncertainty minimization, and most importantly, an optimized reaction model with quantified uncertainties.

GSUA is rarely performed and classical one-factor at a time sensitivity approaches are used to evaluated uncertainty.

The probabilistic sensitivity analysis evaluated uncertainty from all variables related to costs and outcomes used in the model.

High-fidelity simulation models capture flow and geological characterization in porous media, and representative models evaluate uncertainties.

To evaluate uncertainties related to the simple irrigation adjustment factor, data on harvested area and crop produced by irrigation and rainfed categories at the grid cell are needed.

CSM uncertainty is often found to be a major source of model error and it should therefore be accounted for when evaluating uncertainties in risk assessments.

This article evaluates uncertainties induced on instantaneous flow rates and cumulative annual flow volumes by the use of one-segmented rating curves in small streams.

Unfortunately, full complexity simulations of the geologic storage system are not computationally affordable, especially given the need to develop many realizations to evaluate uncertainties in system performance.