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Penalization dramatically reduced the spread of estimates, but increased bias to a range of -0.734 8-99) to 0.103 (4-8), with a mean absolute value of 0.142.
Finally, to appreciate the effect of sample size on the spread of estimates for future surveys, we performed bootstrap analysis on our existing data.
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Precision is an expression of the random variation or spread of estimated GFR around the measured GFR.
Most of the values between ±50 Å of ΔASA (64%) involve differences between exposed positions which explains the low variation in Δ ΔΔG) (approximately ±2kcal/mol) as it is derived from the analysis of the distributions shown in Figure 5. Summing up, all the observations indicate that there is a large spread of estimated ΔΔG values for the different conformers due to their structural differences.
The results obtained with the two approaches were consistent and showed a wide spread of estimated supergenome sizes, from approximately four genomic equivalents (hence numerous repeated gains) to effectively open supergenomes (no or very few repeated gains) (Table 2 and Figures 10a and 11).
In the real SNP data sample, we calculated the three genomic estimates of F. To compare the spread of the estimates of F, the variances of F were derived across the 1000 individuals in a sample, and the log (base 10) of these variances was taken to aid interpretability.
And thirdly, the spread of the estimates of interactions was consistent with chance.
For within methods comparisons, we qualitatively examined the 10-90% confidence intervals around bootstrapped medians to characterize the average spread of loss estimates as a proportion of the median.
The overestimation of the BSV (Table I) is a consequence of the large spread of individual estimates of CL when data from females were assumed to derive from males and vice versa.
The separation index for the items (a measure of the spread of the estimates relative to their precision) was as high as 4.01, allowing us to differentiate between five statistically distinct strata of item difficulties with the formula of strata = (4 × 4.01 + 1)/3 [ 51].
2. Spatial dispersion (SD)—proposed in (Molins et al. 2008), measures both the spatial spread of the estimated source distribution around the true source location and the localization error between the estimated source distribution and the true source location.
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