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Thus, using highly uncertain data and the obtained results, decision-maker cannot suggest any specific and influential managerial strategy to prevent unexpected failures and consequently to improve the industrial system performance.
Though a skilled analyst is required to perform these computations, decision analysis (multi-criteria decision analysis (MCDA) in particular) can supplement traditional political science research in forecasting behavior on issues with subjective, disparate, or highly uncertain data.
However, because ProMAA can consider probability distributions for weights and utility values of metrics for each criterion, it is most likely the best option for projects with highly uncertain data and significant stakeholder involvement.
In the case of highly uncertain data, some extremely high observations may not be completely reproduced.
In practice, the latter were usually classified as NT unless other circumstances (highly uncertain data, combined with widespread unregulated fisheries) dictated a higher level of threat according to the precautionary principle.
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Concerning storm-related mortality and injury, most respondents noted that expected changes in storm climate due to climate change are relatively small and highly uncertain, and data is lacking on the effects on mortality and injury.
For 4.6% of HC (n = 17) the highest membership probability was <0.6, which is indicative of highly uncertain cluster membership assignments (data not shown).
The assumptions needed for modeling dietary uptake, such as the assimilation efficiency, are highly uncertain; thus, the dietary uptake data needs to be interpreted with caution.
Further, returning results may unnecessarily harm participants if they make significant health decisions based on highly uncertain, invalid, or poorly interpreted data.
These estimates are however highly uncertain and as a minimum more robust data on production volumes are needed, to give better predictions on environmental concentrations.
Estimates of evolutionary time based on restricted data tend to be highly uncertain, but based on sequence divergence we find it is reasonable to consider C. a. lupaster as a distinct taxon within the grey wolf species complex.
Related(20)
highly uncertain circumstances
highly unspecific data
highly unreliable data
highly uncertain estimate
highly uncertain identification
highly uncertain procedures
highly nonlinear data
highly uncertain times
highly valuable data
highly uncertain parameterizations
highly reproducible data
highly scientific data
highly significant data
highly variable data
highly uncertain environments
highly correlated data
highly secure data
highly heterogeneous data
highly flexible data
highly collinear data
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com