Sentence examples for uncertainty in the quantification from inspiring English sources

We are aware that many geomorphological and biological processes are not incorporated in the presented model; however, the uncertainty in the quantification of these processes and the interaction of these uncertainties may produce erroneous results in the predictions.

There was also some degree of uncertainty in the quantification of NP in the WwTW effluents.

Uncertainties in the quantification of imprecise data are expressed using rough numbers.

Uncertainty theory is adopted to deal with subjective uncertainties in the quantification process of the index system.

Uncertainties in the quantification of some of the steroidal estrogens are likely to have contributed, at least in part, to some of the differences seen here between the calculated and measured E2 EQ concentrations.

Finally, we did not take into consideration the pattern of drinking (e.g. binge or regular drinking), or the type of beverage (e.g. beer, wine, distilled spirit) because of uncertainties in the quantification of the effect of such factors on cancer risk.

There is always uncertainty in models, the quantification of input parameters and assumptions of their interrelations, which is not straightforward.

However, much uncertainty remains in the quantification of the impact of human activities on river DIN export (He et al., 2009, 2011).

Although the increase in counting statistics with new PET/CT systems contributes to reduce image noise, SUVmax remains adversely affected by noise, leading to uncertainty in the uptake quantification and thus in the treatment response categorization.

However, downstream methods which make use of uncertainty in the transcript quantification [such as the differential expression analysis proposed in BitSeq stage 2 (Glaus et al., 2012)] may suffer from the poor approximation in terms of posterior variance.

A probability logic approach is used for the inclusion of uncertainties in the risk quantification, which is achieved based on a Monte Carlo simulation technique.