Sentence examples for variance point from inspiring English sources
The shape of data is used as an organising principle and the attribute of geometrical symmetry of cost variance point clouds used for the quantification of cost uncertainty.
If not, differences in sequencing depth could contribute to differences in variance (point #1).
This observation becomes even more clear by considering Figures 6 and 7. There, we compare the previously introduced "average energy points" and "energy variance points" to the analytically determined expected free energy and corresponding variance from [ 21], respectively.
Obviously, we can also compute the corresponding "average energy points" A v E P (S, e n e r g y ) : = (n, μ n : = 1 card (S n ) ∑ s ∈ S n e n e r g y (s ) ) ∣ S n ≠ ∅ and the corresponding "energy variance points" V a r E P (S, e n e r g y ) : = { (n, σ n 2 : = 1 card (S n ) ∑ s ∈ S n (μ n − e n e r g y (s ) ) 2 ∣ S n ≠ ∅ }, respectively.
Amiri et al. (2014) developed a probabilistic neural network (PNN -based PNN -basedto estimate the variance change procedurea univariato procestimate normal qualithecharacteristic.
**I=34%, P=0.11 for heterogeneity, variance in point estimates, from 0.25 to 2.97.
†Wide variance of point estimates across studies or large heterogeneity between trials (I>50%).
24 29 Results were considered inconsistent if there was a wide variance of point estimates across studies or if the heterogeneity between trials was large (I>50%).
Using the estimated least-squares means and intrasubject variance, the point estimate and 90% confidence intervals for the difference in means on a log scale between the 14th or 8th and 2nd i.m. injections were constructed.
For the (co variance estimates, the sigma-point approach consistently outperforms linearization approach for increasing parameter variance level.
A non-linear model of regression was used to calculate a weighted R which takes into account the uneven variance between points across the graph, ensuring that all points contributed equally.
