Sentence examples for most probable correlation from inspiring English sources

It is found that the proposed approach properly selects the most probable correlation function and is applicable for general choices of prior knowledge.

In addition, sensitivity studies are performed to explore the effects of prior knowledge, the measurement resolution (i.e., sampling interval), and data quantity (i.e., sampling depth) on selection of the most probable correlation function for soil properties.

Interestingly, the distribution obtained from the correlation values of probesets extracted from the coding region versus the 3' untranslated region (UTR) of the same OR in Zhang et al. had a similar median (0.19), although the most probable correlation value was found to be higher: 0.6.

A significant temperature-dependent protein-solvent interaction is found to be the most probable origin for this correlation, which is consistent with a scenario of hydrophobic hydration on the ice binding surface.

With strong EDR correlation, the most probable relationship among the small-volume dose limits was derived for the spinal cord PRVs.An analytical formula linked the most probable pin-point/small isodose volume doses with relatively large isodose volume doses of the spinal cord for spine SBRT.

The bioreactance technique is dependent on diffusion of electrical current, so interstitial edema may interfere with measurements; we believe this is the most probable explanation for the poor correlation.

However, the most probable cause of the weak correlations observed is their use of log expression ratios, rather than log expression values, as the basis for their correlations.

The highest value of the time correlation indicates the most probable time shift between FAK and paxillin at each FA (Fig. 3C).

Our results demonstrate a correlation between the most probable orientation of the magnetization vector, the system's parameters, and the external magnetic field.

The 5LC/LC6 correlation allows giving the most probable wind sequences previous to each one of the 27 LC's, in the long KNN trained period of 1975 94, or by generalization, in a different not trained test period like 1995.

To implement this procedure, we first calculated residual sums of squares from the canonical correlation runs at the most probable location for the individual activity traits to be tested and pooled them into one matrix.