Exact(25)
Quantile-quantile plot for the fit shown in (10)Quantile-quantile plot for the fit shown in (12).
Clearly, there is a linear relationship (curve fit shown) between the surface energy and the relative surface area, reaffirming that the observed surface energy is physically confined to the surface of the particles and that the relative amounts of surface energy increase for decreasing particle sizes.
In order to quantify the extent of this problem, we plotted the test set residuals versus the experimental melting point, and used linear regression to find the line of best fit (shown in the third column in Figures 3 and 6).
Squares with vertical bars indicate average and standard deviation values of (a − b) values plotted in Figure 5, while circles with vertical bars indicate ∆μss/∆lnVsliding values and their errors from the least-squares fit shown in Figure 6. Figure 9 ( a − b )/(∆ μ ss /∆ln V sliding ) plotted against smectite/clay-mineral content for the five samples tested in this study.
Moreover, within this load range G is independent of defect size and a parabolic curve fit, shown as a dashed line in Figure 7, gives a conservative estimative of G values for defects up to 70 mm in size, even for load levels above 400 N/mm.
A possible component of poor fit shown by existing empirical matrices on HIV sequences is the assumption that the sequences being compared have the same average amino acid composition as that used in producing the model.
Similar(34)
It promises a good fit, shows at most one card in the splinter suit and suggests a slam.
The fit shows a quadratic dependence of Γ on the hole density.
Thus, the non-significant value for the lack of fit showed that the model was valid for further analysis.
These values have been obtained from a Gaussian fit (showed as dashed red lines in the 1D conductance histograms).
An insignificant value for the lack of fit showed that the quadratic model was valid for the present study.
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