Sentence examples for distributions capturing from inspiring English sources

In this work, the fODF peaks are approximated by Bingham distributions, capturing first and second-order statistics of the fiber orientations, from which we derive metrics for the parametric quantification of fiber bundles.

Key parameters were given values, using specific distributions capturing uncertainty simultaneously in 10,000 iterations (details are provided in the supplementary data, section 5).

The key idea behind ALE is to treat the reported foci not as single points, but rather as centres for 3D Gaussian probability distributions capturing the spatial uncertainty associated with each focus (Fig.  1c).

Discrepancies between TEM and XRD calculated sizes of particles can be due to differences in size distributions captured by the different techniques, as well as polycrystallinity of the particles.

Over a bounding range of 2 20 mm/year infiltration rate, the simulated calcite distributions capture the trend in calcite abundances measured in a deep borehole (WT-24) by the USGS.

Multiple linear regression models were used to compare fat distributions captured by anthropometry and DXA between children with and without lipoatrophy, adjusting for age and sex.

Second, both distributions capture the intrinsic multi-inheritance nature of the phenotypes in HPO i.e. the fact that a phenotype concept may have ancestors leading to several different top-level categories.

To this end, a collection of one hundred million parameter sets was sampled from a log-uniform distribution, capturing a parameter range of twelve orders of magnitude (10-6 to 10).

The top one percent of the income distribution captured fully 52% of the income gains during that 15-year period.

Some of it points to changes within the broad middle of the income distribution, captured principally by growth in the college wage premium, which is rooted in shifts in the supply of and demand for skills.

The remaining intervals are then constructed equal-probably, that is, with reference to the portion of background distribution captured by the genuine interval.