Sentence examples for minimum error for from inspiring English sources

Maximum modulus count rate error at peak NECR as well as maximum and minimum error for all activity concentrations are reported.

For all three bandlimited white noise processes and for all sets of windows, the optimization converged to the same minimum error for all the 100 cases, based on equal sets of weighting factors.

Regarding to accuracy indexes, specificity and sensitivity, the system had the minimum error for a mixed sample (60% olive oil-40oil-40%a oil), specificity and sensitivity were obtained as 98% and 100%, respectively and accuracy was obtained as 72%, which was the weakest value.

The minimum error for each permutation across the top 2 to 10 ranked genes was used to calculate the p values for both of the above types of permutation to avoid bias.

The solution results correspond to the absolute minimum error for each sample for all mixing fractions and parameter sets tested by the ternary model, although a number of models with slightly different mixing fractions and ages of water were identified that could be consistent with measured tracer concentrations in the ASW samples and samples from the monitoring wells in the area.

The maximum and minimum errors for all activity concentrations are depicted in Fig. 4.

The maximum count rate error around the peak NECR and the maximum and minimum errors for all activity concentrations are reported.

The number of tapers giving the minimum errors for the sinusoidal tapers, Thomson multitapers and Welch method and the errors of the single Hamming window are also shown.

Threshold values of rrCBF = 1.4 and 1.6 provided minimum errors for determining a glioblastoma from a grade 3 or 2 glioma.

The minimum error was obtained from all of the clusters predicted for each gene cluster, and the average of the minimum errors for the 10 gene clusters from A. flavus and A. fumigatus described above was then calculated at each value for the parameters.

The minimum error of classification for each of the subsets (8%13%%) was lower than that for the superset of all samples (28%), suggesting that homogeneity of tumour content rather than tumour content per se might be an important factor for response prediction.