Sentence examples for estimations of uncertainty from inspiring English sources

Robust statistics were applied to obtain reliable estimations of uncertainty, accounting for the factors (day and processed fraction), thus representing intermediate precision conditions.

The use of weak information (mostly coming from literature or other model applications) should be avoided because it can lead to wrong estimations of uncertainty in modelling results.

Considerable work has been done on ways to identify compounds for which predictions are unlikely to be reliable – i.e., on applicability domains [4 6] and on quantitative estimations of uncertainty for regression models [4, 7 13].

The pooled estimates of the association between pollution and mortality, estimation of uncertainty, and estimate of variability between urban centers were determined by restricted maximum-likelihood methods (Lindstrom and Bates 1990).

The advantage of a Bayesian approach is the ability to incorporate prior knowledge from other phenology and climate observations to reduce variability in the estimates, as well as a more robust estimation of uncertainty.

Furthermore, estimation of uncertainty for the various groundwater discharge estimates showed that some of the flux estimates were insignificant compared with their propagated uncertainties.

The estimation of uncertainty in the measurements has been given in ISO/EURACHEM guidelines [13 15].

This may results in erroneous estimation of uncertainty in the predicted optimal reservoir production performance.

This can be achieved by the estimation of uncertainty in the measurements as per ISO/EURACHEM guidelines [1 5].

Robust control based on an online estimation of uncertainty is presented for a class of nonlinear uncertain systems.

The procedure is illustrated by estimation of uncertainty weights and design of μ-optimal controllers for a distillation column.