We construct hypothetical scenarios for the performance of BED test, consistent with current knowledge, and explore how this could influence errors in BED estimates of incidence using a mathematical model of six African countries.
The accuracy, or even possibility, of self-reported values among these populations may vary greatly due to issues of literacy, education, levels of food insecurity, time since last biometric measurements, and social desirability which have all been shown to influence error in self-reports [ 4– 7].
Further, while d' can capture perceptual sensitivity to information it does not necessary represent the higher-level cognitive processes that would influence errors reporting changes in the type of complex stimuli presented in change deafness tasks.
There is growing evidence that sequence context (i.e., the nucleotide sequence surrounding a base and the base's position within the read) influences error rates in both Roche/454 and Illumina sequencing [ 8, 9].
This in turn influences error processing measured by the Ne.
Moreover, in order to ensure that this discrimination is not influenced by errors in determining parameter values, we confirmed that our findings are relatively robust to parameter changes.
The accuracy of the DGA diagnosis will determine the cost, duration and workload of the maintenance since it can influence the error in the maintenance.
The results also show that the choice of iteration method, from fully coupled to fully decoupled, does not significantly effect computational cost, but it does influence the error in the solution.
In addition, as convincingly argued previously [ 6] pseudonymisation is likely to be influenced by trivial errors in the data used in the pseudonymisation process.
Although the land cover change rates are doubtless influenced by classification errors in both 1992 and 2001 NLCD maps from which the change map was derived, the strong statistical significance of the results, and the intuitive direction of the effects of protection status and population change contribute to the strength of the results.
The influence of errors in mixed noise parameters estimation is studied in terms of filtering efficiency.
