Sentence examples for more sensitive correlation from inspiring English sources

Meanwhile, instead of the studying the conventional average flank wear, tool wear per tooth is studied for more sensitive correlation with force.

Potential fire severity was more variable within the Sierra Nevada landscape and also was more sensitive to the correlation between weather conditions and fire duration.

For the same dataset using the same threshold we get many more targets and so the PLS based method proved to be more sensitive than just correlation based target prediction described in Step 8 in the Results section.

The Pearson correlation coefficient, r, was used as a measure of correlation, since it is more sensitive than the Spearman correlation coefficient for comparing the tail of two signal distributions, which is particularly important in analyzing ChIP enrichment signal profiles.

CRBs of the normalized coherence bandwidth λ n are more sensitive to the temporal correlation coefficient than their analog expressions for timing and 50 observations were required to achieve a good fitting for a SNR of 20 dB [35, 36].

Pearson correlation is more sensitive to outliers and the upper tails of a distribution than Spearman correlation.

They concluded that indices based on the later parts of the capnographic waveform are more sensitive and display a stronger correlation with spirometric indices [5].

We found that SEAP expressed after FMDV2A self cleavage was more sensitive and showed a higher correlation with luciferase expressed in liver.

Finally, the norm depends on the number of voxels, and for a very large number of voxels, the normalization factor increases and consequently the PDC values decrease to low-levels and become more sensitive to erroneous or random correlations.

The results indicate that the correlation value is more sensitive to the noise injected to a watermarked image.

In the current manuscript Yu et al. add to previously published findings that human observes are more sensitive to more informative multi-point correlations in images.