Sentence examples for denotes the correlation between from inspiring English sources

Exact(9)

In (5), the correlation coefficient represents the correlation between and and the coefficient denotes the correlation between and.

where (sigma ^{2}_{DL_{M}}, sigma ^{2}_{DL_{j}}) are the variances of the daily liquidity measure of the market and stock j, respectively, and ρ denotes the correlation between D L M and D L j.

The coefficient R j, i = E h d, j ∗ h p, i denotes the correlation between the channels at the j th data symbol and the i th pilot symbol positions.

end{aligned} (14 where (hbox {cor}(hat{mathbf {s}}^{i}, hat{mathbf {s}}^{j})) denotes the correlation between (hat{mathbf {s}}^{i}) and (hat{mathbf {s}}^{j}, bar{phi }_{i} = int _{mathbb {R}^{d}} s |phi _{i}|^{2} ds / int _{mathbb {R}^{d}} |phi _{i}|^{2} ds) defines de center of mass of (phi _{i}) and (l_{i}) is the scale index of (phi _{i}) in the wavelet decomposition.

More precisely element cp denotes the correlation between the population firing evoked by pattern p and the normalized instantaneous population firing r.

To correct for repeated measurements and the use of the baseline measurement as a covariate, we multiplied the required sample size by the design factor 1 + ρ / 2 − ρ 0 2, where ρ denotes the correlation between the post-treatment HADS measurements, and ρ0 denotes the correlation between the baseline HADS with the post-treatment HADS measurements.

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Similar(51)

The nonparametric Rho scores in the table denote the correlation between the binding potential values provided by the methods; *statistically significant correlations (two-tailed tests, Bonferroni correction for multiple comparisons, p ≤ 0.0016).

denotes the correlation degree between and active cluster member for.

The second tabular column denotes the correlation factors between downward drift and the corresponding F2-layer peak data.

(Psi _{mathrm {h}{overline {text {y}}}^{(E)}}) denotes the correlation matrix between h and ({overline {text {y}}}^{(E)}).

The parameter ρ in Equation 1 denotes the correlation coefficient between the probability of a pixel being a true edge and being detected as edge.

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