Sentence examples for characterized uncertainty from inspiring English sources

Exact(3)

The majority of participants characterized uncertainty of sequencing information as " changing, fluid, developing, or ground breaking".

Given the wide variety of sources for uncertainty and the potentially large degree of uncertainty about any specific estimate, we characterized uncertainty in two ways, using both a limited scope Monte Carlo analysis and sensitivity analyses.

The Monte Carlo uncertainty analysis described here can be considered a screening-level uncertainty analysis because we have characterized uncertainty in the environmental model estimated PWD PFOA concentrations as a surrogate for hundreds of parameters in the suite of fate and transport models used to estimate the PWD PFOA concentrations.

Similar(56)

Interested in the effect of characterizing uncertainty in different ways, we then constructed a broad characterization of uncertainty: (i) clinically significant, (ii) uncertain clinical significance, likely significant+uncertain clinical significance+uncertain clinical significance, likely benign, and (iii) benign.

Epidemiologic approaches and statistical techniques exist to characterize uncertainty that can be applied to weight-of-evidence evaluations and risk characterization efforts.

EPA says the expert review was supposed to be used for characterizing uncertainty not for setting the soot standard.

Expert elicitations of future energy technology costs can improve energy policy design by explicitly characterizing uncertainty.

The Dirichlet distribution (i.e. the multivariate Beta) was thus chosen to characterize uncertainty distributions in the final network.

Furthermore, because of its probabilistic structure, the method also characterizes uncertainty of the estimates in a natural way.

DS evidence theory can appropriately characterize uncertainty and make full use of multiple evidence source information by DS combination rule to obtain reliable decisions.

Probabilistic analysis is most widely used method for characterizing uncertainty in physical and social systems, especially when estimates of the probability distributions of uncertain parameters are available.

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