Sentence examples for measuring discrepancies between from inspiring English sources

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

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].

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.

Miskimins self goal other (MSGO) The MSGO is a measure to assess discrepancy between actual and ideal self-perception [ 74]. 30 personality trait dimensions have to be scored on a 100 mm visual analogue scale, for current and ideal self-perception respectively.

Comparisons are reported with literature methods for predicting the measured parameters; discrepancies between data and predictions may be partly due to the inadequacy of a single "equivalent" diameter to represent both shape and size of non-spherical particles; predictive methods performing best are also identified.

So I'd do the jump from the horse onto the manure heap and measure any discrepancies between the rehearsal and the real situation".

The Brier score [ 31], which measures average discrepancies between true disease status and estimated predictive values, was also calculated to assess the predictive risk scores in risk group stratification.

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.

A distance function is useful in measuring the discrepancy between two rankings.