Sentence examples for quantity correlation from inspiring English sources

This paper attempts to establish a quantity correlation between standard well logs (sonic, density, neutron and resistivity) and total organic carbon by means of two techniques, namely, using ΔLogR and then using Neuro Fuzzy.

When run with multiple samples, RNA-SeQC creates a matrix of correlations among all combinations, reporting the Spearman (rank based) and Pearson (quantity based) correlation coefficients.

For matching quantity, the correlation is firstly positive and then becomes negative on the whole.

At the nucleotide level, the quantity approximate correlation, AC, defined as begin{aligned} mathrm{AC} = frac{1}{2}lefrac{mathrm{TP}{TP}{mathrm{TP}} + mathrm{FN}} + frac{mathrm{TP}}{mathrm{TP} + mathrm{FP}} + frac{mathrm{TN}}{mathrm{TN} + mathrm{FP}} + frac{mathrm{TN}}{mathrm{TN} + mathrm{FN}}right) - 1 end{aligned}has been introduced to summarize sensitivity and specificity in a single measure.

The two quantities are weakly correlated (correlation coefficient 0.33).

The two quantities are very strongly correlated (correlation coefficient r = -0.960, p < 0.0001).

An analytical expression for the correlation quantity is derived, and the numerical example indicates that there is a narrow range of frequencies and duty ratios that are effective.

The chlorogenic acid quantity showed no correlation with the ORAC or FC results, despite chlorogenic acid being a HAT antioxidant; this is likely due to andrographolide masking chlorogenic acids contribution to the total HAT activity as andrographolide is in much greater abundance (~100 times).

The metric is represented in a formal term as, (3) where MI i and Cor i denote the mutual information and correlation quantities respectively; ω i 1 and ω i 2 represent the weights of both quantities; α i is the phase difference for the i th pair candidate; and N is a set of natural numbers.

The two quantities are positively correlated, the correlation coefficients corresponding to the location of the maxima in the cluster plan of the biogas production.

Results based on the highest numerical quantities of the correlation coefficients between the experimental versus predicted values, showed proper fitting.