Sentence examples for uncertainty quantify from inspiring English sources

The aim of this work was to identify the main sources of uncertainty, quantify the standard deviation of each source of uncertainty, and calculated combined and expended uncertainties for the determination of linezolid in injectable dosage forms by UV spectrophotometry.

The aim of this work was to validate, identify the main sources of uncertainty, quantify the standard deviation of each source of uncertainty, and calculated combined and expended uncertainties for the determination of linezolid in injectable dosage forms.

Forecasting uncertainty quantifies intrinsic limits to deterministic (for example, yes or no) weather forecasts.

NPI is a statistical approach based on few assumptions, with inferences strongly based on data and with uncertainty quantified via lower and upper probabilities.

We have then obtained the following proposition, which shows that for receptive profiles the angular momentum variance Δ J is inversely proportional to the angular uncertainty quantified in terms of Angv.

The posterior inclusion probability yielding the individual uncertainty quantifies in how many cases of the Monte Carlo simulation of the sample space Ω this variable contributed to an increased posterior model probability (PMP).

High-resolution mapping was coupled with historical data obtained by interviews with elder farmers and archival sources, with uncertainties quantified using Monte Carlo methods.

The application of FIMOMIP demonstrates that not only management cost/benefit but also environmental impacts (air pollution, traffic flow limitation, and leachate and noise impacts) can be minimized under uncertainties quantified by either membership functions or interval numbers.

This nonparametric method for uncertainty analysis quantifies uncertainty due to measurement repetition and establishes that the uncertainty due to data discretization is the minimum achievable uncertainty.

The authors perform a model evaluation procedure that includes generalized likelihood uncertainty estimation to quantify uncertainty of the model results.

For decision-making, it is important to identify the sources of uncertainty and to quantify uncertainty in a robust and defensible manner, for example by probabilistic predictions.