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The standard deviation of energy defines the average variance between the residual energy levels on all nodes and is measured by Eq. 18, sigma = sqrt{frac{1}{|mathcal{N}|}sum_{i=1}^{|mathcal{N}|}(E_{i}-mu)^{2}}, (18).
The standard deviation of energy defines the average variance between the residual energy levels on all nodes and is measured by Eq. 18, sigma = sqrt{frac{1}{|mathcal{N}|}sum_{i=1}^{|mathcal{N}|}(E_{i}-mu)^{2}}, (18) where E i and μ are, respectively, the residual energy of node S i and the mean residual energy for all nodes.
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The average variance between 11 biological replicates was 2.2%, 3.2% and 7.3% for CG, CHG and CHH methylation respectively, while for identical genotypes grown at different temperatures (111 pairs) CG, CHG and CHH methylation variance was 2.7%, 4.6% and 15.9% respectively.
Items should load more strongly on their own constructs in the model, and the average variance shared between each construct and its measures should be greater than the variance shared between the construct and other constructs (Compeau et al. 1999).
Regarding discriminant validity of the constructs, we compared the shared variances between paired factors with the average variance extracted of the individual factors.
In order to examine the discriminant validity of the constructs, this study used the Fornell and Lacker [86] criterion whereby the average variance shared between each construct and its measures should be greater than the variance shared between the construct and other constructs.
Furthermore, the data suggest an (inverse) relationship between network density and average variance of the metabolite time courses.
The difference in average genomic signature variance between the bacteria discussed above motivated us to investigate genomic homogeneity in sequenced prokaryotic genomes by utilizing the stable property reflected by the Markov chain based genomic signature methods.
Figure 8 presents a comparison of the average variances of the TCP between the new approach using a KPI and (a) the heuristic approach and (b) the state-of-the-art optimization approach.
The difference in these average variances in BMI between the two data sets is statistically insignificant (p=0.066).
The events must have (1) occurred between 1998 and 2014, (2) a focal depth shallower than 80 km, (3) a magnitude in the range of 4.0 ≤ M W ≤ 5.5, and (4) an average variance reduction of waveform fitting between the observed and synthetic waveforms larger than 85% once the source parameters have been determined.
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