Sentence examples for for which uncertainties from inspiring English sources
The finite element code ANSYS is used to carry out all analyses and parametric studies are employed in order to identify parameters for which uncertainties will have a significant effect on the predicted performance.
The emission estimates depend on a number of estimated parameters, for which uncertainties are high, and NPAH measurements in air, water, and soil are needed to confirm these results.
The tendency to think of suspense as intimately related to surprise, for which uncertainty appears to be required, may be one reason why many people think suspense requires the same.
PSHA consists of a four-step framework for which uncertainty in size, location and likelihood of plausible earthquakes can be incorporated to model the potential impact of future events (Robinson et al. 2006).
Most importantly, perhaps, the training pool distributions should be equally applicable to external predictions – provided that, as is the case in these examples, model building is done in a way that avoids overtraining and the training pool is representative of the population for which uncertainty estimates are desired.
Scores for reads flagged as ambiguous are recorded in a separate file in this way, unambiguously mapped data can be kept separate from data for which uncertainty exists.
This limitation becomes more severe as the number of growth substrates for which uncertainty exists increases (black to white bars in Figure 3).
A previous sensitivity analysis of cost units in the AMOS study [ 17] had identified one item for which uncertainty in the assumptions could have a relevant impact on costs: inpatient hospital treatment.
Two sensitivity analyses were performed, for the following reasons: A previous sensitivity analysis of cost units in the AMOS study [ 17 ] had identified one item for which uncertainty in the assumptions could have a relevant impact on costs: inpatient hospital treatment.
We conducted sensitivity analyses on 3 key parameters for which uncertainty surrounded the value used in the baseline model when estimating T s in isolation, we performed sensitivity analysis on the following 3 parameters barn size, and the latent and infectious periods (results are presented in Additional file 1).
Sensitivity analysis was undertaken to examine the robustness of the modelling and to study the impact of plausible variation in the variables for which uncertainty was judged to be higher (e.g. those least well supported by population-based data or peer-reviewed publications).
