Sentence examples similar to utilised error from inspiring English sources

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On the other hand, the approximation error modelling, in which statistical properties of the modelling error are utilised instead of a reference measurement, can be used to obtain as good quality reconstructions as the reference approach.

Utilising the standard error of the estimate (Se), a bias correction factor (CF) was applied (Eq. 2) as proposed by Baskerville (1972).

This study uses a novel data collection method that is integrated into clinical care, eliminating duplicate documentation, and increasing efficiency and data quality by utilising built-in error checking and other smart functions.

5 fold cross validation (CV) has been utilised to estimate the generalisation error of the model.

Other interviewees reviewed previous dosing decisions or utilised a more 'trial-and-error' approach: 'There seems to be no rocket science to this, you know; if the reading's too high you take a bit less, if the reading's too low you take a bit more.

The whole process utilised a double-entry and logistical error check to ensure accuracy.

There is a lack of consistency in approaching MAE causation research with regards to the methods used and whether error causation frameworks are utilised to analyse results.

Outside optical imaging, the approximation error approach has been utilised in electrical impedance tomography [ 11, 16 19] and it has been extended to time-dependent inverse problems [ 9, 10].

Furthermore, in contrast to the previous guidelines, the new standards also stipulate the inclusion of the Parkes (Consensus) error grid, a tool utilised for determining the clinical significance of the accuracy of the BG meter [ 20, 21].

To scale up the delivery of refractive error services, the following method was utilised: 1. Advocacy for the delivery of primary eye care, refractive error and low vision services within all levels of the DHS. 2. Training and deployment of the appropriate human resources.

Randomisation will also reduce potential bias resulting from inter-trial variability, which inflates both type I and II errors if historical controls are utilised.

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