Sentence examples for intersection estimates from inspiring English sources

The number of intersections can be 0, 1, or 2. When 0, the mean values were used as the dichotomous intersection estimates.

These were: 1) the slope of the regression line describing the early course, 2) the intercept of the regression line describing the early course, 3) the difference in slope between the two regression lines (to describe the change from early to late course) and 4) the intersection estimate (to describe when the change in improvement occurs), the so-called "knot".

Analysis of DTI data becomes more complex at fiber intersections, and estimates of white matter voxels containing crossing fibers range from 63 to 90% depending on the estimation method used [ 75].

Second, the conflict probability of each cell within the intersection is estimated considering the approaching probability and lateral migration probability of vehicles.

This method installed sensors at the entrances of intersection to estimate a queue length on each road as inputs of fuzzy system.

These are somewhat smaller distances than those where the regression lines intersect, but estimates of that intersection have very large confidence intervals.

Based on a survey of 106 of the city's most dangerous intersections, Mr. Hevesi estimated that 14 vehicles went through red lights each hour.

The significance of all two-way and three-way intersections was estimated using the hypergeometric distribution.

Synthetic data results showed that, for fibres crossing at high intersection angles, direction estimates extracted directly from the KT have smaller errors than the DKI-based ODF estimation approaches (DKI-ODF).

Based on the geometric interpretation in (7), we can derive estimators to get one point inside the intersection as an estimate.

In the improved algorithm, we selected two beacon nodes' weighted bisector as the region boundaries, then calculated the two weighted bisector intersection coordinates as estimate coordinates, and finally we regarded the weighted average values of all the estimate coordinates as the final estimate coordinates of the node to be located.