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Error was presented at ± the percentage coefficient variant (%CV).
The quality of calibration based on the amount of rotational error was presented on a numeric scale.
Feedback about the temporal error was presented after control trials to encourage the participants to achieve optimal performance.
Every identified discharge error was presented, in the form of a case study outlining clinical, diagnostic and medication details, to six independent assessors, blinded to study allocation, who retrospectively scored the potential for harm using a validated, reliable visual analogue scale (VAS) (0=no harm, 10=death) 33 previously used for this purpose.
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A study of the convergence and error is presented here.
Margins of error are presented as standard errors of the means (SEM).
A boundary conditions error is presented and its efficiency to translate structural parameters error is shown.
The control panel graph for the estimation error is presented in Figure 20b).
The model order (using the AIC criterion) giving the smallest error is presented.
For the AR estimator, the estimated model order M for the minimum error is presented.
The estimation of the state-matching error is presented using the linear matrix inequality (LMI) techniques.
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