Sentence examples for mean squared deviations from inspiring English sources
Although uncertainties in bead position measurements led to minor discrepancies in the comparison of the velocity fields, the axial and normal velocity deviations exhibited normalized root mean squared deviations (NRMSD) of only 11.32% and 4.74%, respectively.
Five goodness-of-fit indices (GFIs), including root mean squared deviations (RMSD), Nash Sutcliffe coefficient of efficiency (NSCE), coefficient of determination (R2), absolute mean difference (BIAS), and relative bias error (RBIAS) were selected for evaluating mean SWS estimation quality in both calibration and validation periods.
Previous studies by our research group showed that although a set of conformations could describe better the bound form of drugs, the global minimum energy structures yielded also good root mean squared deviations (RMSDs) against crystallized drugs bound to the targets [30].
In Figure 3, we present a histogram of heavy atom root mean squared deviations (RMSDs) for structures refined using the three protocols (inset, Cα RMSDs).
The non-neutral model was fitted to the observations by minimizing the mean squared deviations between modelled (eq. 1) and observed Fr i,j) curves.
Note that the statistical errors of RMSF values generated by CABS-flex are reflected in root mean squared deviations (RMSD) between RMSF profile data (Fig. 2B).
These measures are either based on the RMSD (root mean squared deviation: average squared distance between homologous alpha carbons) or the dRMSD (distance RMSD: average square difference of distances between equivalent pairs of amino acids) like the DALI score (Holm and Sander, 1995), APDB (O'Sullivan et al., 2003) or the iRMSD (Armougom et al., 2006a).
For tumour size, performance was evaluated in terms of the mean squared deviation [31].
The new correlation equation and other existing ones are fitted to the data optimizing the root mean squared deviation.
Mean absolute deviation (MAD) and mean squared deviation (MSD) are believed to be the discrimination of the model accuracy.
