Sentence examples for measuring discrepancies from inspiring English sources

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.

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.

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.

Taking into account the recommendations of De Los Reyes and Kazdin [ 22] on measuring informant discrepancies, the raw difference scores were converted into standardized Z-scores.

Similarly, by measuring the discrepancies between PPI networks of healthy and sickened individuals, interactions that are involved in disease outbreak and progression are determined [ 4].

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.

The parameter estimation is derived from adequate objective functions measuring the discrepancy between the experimental and numerical modal data.

A more general perspective, first developed by Wald (1950), is provided by measuring the discrepancy between the predictions of the hypothesis and the actual data in terms of a loss function.

From the modal information extracted from two specimens with different geometries, the procedure allows the simultaneous estimation of the skin and core constitutive parameters through adequate objective functions measuring the discrepancy between the experimental data and the numerical predictions.