Sentence examples for degree of predictability of from inspiring English sources
Even so, said the Bank firmly, "no matter how high the degree of predictability of corruption in a country, its rate of investment would be significantly higher were there less corruption".What about the argument that corruption at least offers a way of escape from crushing regulations and obstructive bureaucracy?
Supply chain uncertainty was measured using six items in the survey that were making inquiries about the degree of predictability of the supply base, the internal operations, and the demand as compared to the industry average.
With regard to horizontal sections, this meant a lower degree of predictability of the position of cones and the transition between their outer and inner segments.
It is of considerable importance to note that this can be generalized to any volume of data over any spatial range to achieve a great degree of predictability of malaria incidence over time with respect to the factors considered in the respective study.
When applied to brain signals, Granger causality as a statistical method measures the degree of predictability of temporal changes in one brain region that can be attributed to those in another region (Bressler and Menon 2010).
There is no obvious way in which spatial methods can be helpful even if there is some degree of predictability of drinking-water use based on location, for example, greater amounts in warmer climates.
Having different health and built environment characteristics also corresponds with different degrees of predictability of the activity-travel patterns, particularly in the worker/student case.
Although the genome evolution processes described above can lead to different degrees of predictability for different types of molecular function and for different lineages, these observations suggest that OTU analyses can be enriched with functional information to produce better definitions of ecological units and predictions of ecological roles (Fuhrman, 2012).
They serve to some degree to indicate the limits of predictability of dyslipidemia by first stage population screening programs based on statistical models which focus primarily or exclusively on anthropometric measurements such as WHR and BMI.
