Exact(6)
The result shows that the proposed system lesser variance than the existing protocol.
The model based on segmented data provides more accurate life predictions with lesser variance with experimental data than the continuous data model.
Although the former model was able to predict a lesser variance than the latter (55% vs. 62%), it was of better fit.
Robustness of one group relative to another can be defined as lesser variance in fitness changes brought on by mutation(s) added to the genome [ 4, 26].
As the result shows, the lesser variance in the overall survival samples indicates that the new cutoffs, which is different from the given criterion, offers us a more coherent gene expression mechanism in the redefined overall survival samples and the larger posterior probability illustrates that the two corresponding traits have a stronger separability based on the gene expression profiles.
He demonstrated that between two alleles that on average produce the same number of offspring, natural selection favors the allele that produces offspring with lesser variance when the breeding adults of the next generation are sampled from a finite pool of offspring.
Similar(52)
PCA develops the nonlinear mapping in such a way that it maximizes the variance of the data, which helps us in discarding that part of the data which is marked by lesser variances.
In the same way, no other combination of PC1 and PC3 and PC4, with a lesser degree for variance explanation, provides good differentiation between these three areas.
While water quality parameters under PC3 and PC4 though exhibited strong and positive loading by one parameter each, were considered insignificant due to a lesser percentage of variance (i.e., 6.88 and 6.52%%).
The lesser mean and variance of residuals reflect the relatively higher correlation of estimation of internodal branch lengths between data sets within Charadriiformes, not shorter distances (although note r2 is smaller for Charadriiformes than non-Charadriiformes for myo-2).
A heterogeneity index is introduced to quantify local variations in constraint density to investigate the impact on the VPG results when there is greater or lesser degree of spatial variance in the distribution of distance constraints within a network.
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