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The maximum difference between the two fitted ellipsoid semiaxes is 1 mm.
The differences between the two fitted curves are really what matters here, is that not so?
An interaction is deemed detected when the deviance of the full model [ 3] (see section on Logistic Regression below) from the model containing only the main effect terms is significant using the likelihood-ratio test with degrees of freedom equal to the difference in the residual degrees of freedom between the two fitted models.
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From Fig. 7, the difference between these two fitted lines, known as Youden index, varied by different cut-offs.
In Fig. 8 we show the data from the muscle that exhibited the largest discrepancies between the two fit methods (highlighted by the gray arrows).
The contrast between the two fit types (semi-supervised versus supervised parental-only) can be substantial, as illustrated in Figure 3.
It means the interval time between extinction of the two fittest classes.
The difference between the extrapolated values in the two fits (Delta E_{c}^{infty} = lim_{L toinfty} Delta E_{c}^{(L }) is negligible.
Finally, the relationship between the two is fitted utilizing quadratic polynomial.
Let us now consider the region ν = 3 between the two linear fits corresponding to two spin-split Landau levels n = 1↓ and n = 1↑.
An F test was used to assess the statistical difference between the two models' fit to the data.
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