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Therefore non-linear correlation measures often adopted for measurement.
All the three correlation measures are independent of each other.
The effectiveness of the adopted computational approach to provide the correlation measures is discussed.
Microstructures reconstructed from correlation measures are interrogated to obtain elastic properties.
However, most correlation measures are limited to handling only certain types of data.
On the other hand, variability found within cooperativity correlation measures is, at first, somewhat surprising.
Table 10 illustrates the correlation measures for each pair of CGT methods.
Rank correlation measures are intended to measure to which extent there is a monotonic association between two observables.
Table 6 looks at the statistical significance of the three variables considered for the beta and partial correlation measures.
As is known from the literature, there are two such rank correlation measures: Spearman's correlation coefficient and Kendall's tau.
There were only 0.6% of missing responses to these questions, so they were excluded from the computation of the following correlation measures.
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