Sentence examples for expected errors and from inspiring English sources

We found that the values on the condition specific questionnaire can help inform decisions about the expected errors and hence accuracy of standard mapping algorithms, and that the use of a separate mapping algorithm specified for patients in poor health reduces the amount of overprediction for these patients.

Then, we defined 16 scenarios to calculate the sample composition using an algorithm that incorporated data from a pilot sample, estimates of cost, and prior specifications of the expected error and confidence level.

Our preliminary formal analysis of FABS shows that the expected error and variance of the estimated scores by FABS will be within a manageable range given the classification error by the bipartition.

For a specific set of mesostructural parameters, the size of the representative volume element (RVE) for concrete permeability is suggested in terms of the expected errors by numerical and statistical analysis.

The errors in this approach are quite small compared to the expected errors generated while surveying and constructing roadways, and the error bound is shown to converge to zero uniformly as the parameter governing the resolution of the algorithm is made smaller.

Also, the sensor model is described and the expected errors in distance estimates are analysed and modelled.

As anticipated, the difference in the actual and expected errors of our HRT physical model experiment was quite small (< 2 mm).

It may be worth mentioning that EBCall, as shown in Table  1, uses a set of normal samples to estimate sequencing errors with which to infer the discrepancy between the observed allele frequencies and expected errors.

To reach expected errors below 4-54-5%ovel and individualized approaches must be developed to improve the accuracy of bioimpedance-based methods for the advent of innovative personalized health monitoring applications.

While shoot density is regarded as the most important property of a P. oceanica meadow and as an indicator of ecosystem health, uncertainty in density estimates and unknown expected errors impair the effectivity of this approach.

Although published estimates of ARGOS error vary widely (Table 4), estimates from this study show larger than expected errors for the better location classes and smaller than expected errors for poor location classes.