Sentence examples for measure discrepancy from inspiring English sources

As a result of the calibration phase, we were able to substantially reduce the force measure discrepancy between the two methods and validate the fast stenting method by assessing the differences in the final device configurations.

While data which come directly from those experiencing the cancer afford an insightful perspective, there is greater practical value in using the ECOG to comparatively measure discrepancy in PS scores, rather than solely relying on either patient-rated or oncologist-rated scores.

If individuals' ratings of change in QOL closely map to the external measure, discrepancies would be small and there would be little variance left to explain.

They concluded that the SF6D and EQ5D cannot be used interchangeably for measurement of preference value and that sensitivity analysis examining the impact of between-measure discrepancy remains a necessary condition for cost-utility evaluation results.

The two discrepancies are positive by construction and are defined as which measures discrepancy when it is true that X and Y are associated, and measuring discrepancy when independence holds; the range of integration depends on the random processes involved.

Then (7) measures discrepancy away from the independence situation when the latter holds, relative to the KL distance between the two distributions.

The following day, participants completed online questionnaires measuring discrepancies and procrastination, twice a day, for seven consecutive days.

They tested the three most common ways of measuring discrepancies between informers.

Identification of gaps in care will be assessed by measuring discrepancies between prescribed versus delivered management strategies documented at entry to the VW.

Although KL divergence does provide a measure of discrepancy between two distributions, it is not a true metric, for example it is not symmetric.

We introduce another metric called the global variance of link (GVL) to measure the discrepancy among links, that is, how well nodes are uniformly distributed.