Exact(7)
However, the significance was entirely determined by one strongly outlying point, implying perhaps that recovery may be independent of perturbation magnitude and instead idiosyncratic to the ecosystem type.
A comparison of the amount of influenza viral RNA in the nasopharyngeal swabs and the cough-generated aerosols found a correlation coefficient of r = 0.73 for the NIOSH sampler and 0.85 for the SKC BioSampler (in both cases, excluding one outlying point).
The SROC curve for this data was greatly influenced by the presence of this outlying point.
This expectation is consistent with the empirical data, although there is one outlying point (Enterobacteria phage If1; NC_001954) for which we offer an explanation later.
The relationship between R and ISA in Figure 11 offers an explanation for the outlying point in Figure 4, where Enterobacteria phage If1 (NC_001954) has an R value much smaller than expected from the general trend.
Visual inspection of the data indicated that this relationship may have been biased by an outlying point corresponding to the fis-deleted strain, which had much lower environmental robustness than any other disruption strain.
Similar(53)
The algorithm replaces outlying points using an interpolation scheme [ 27], with outlying points defined as those more than 15 pixels (58 μm) from the median filtered surfaces.
Failure to account for these correlations may produce unstable regression coefficients that are influenced by outlying points and may not be readily interpretable for certain combinations of foods due to the arbitrary partitioning of variance between them.
The MCP method, however, is very sensitive to outlying points, which may reflect exploratory animal movement or measurement errors, providing an estimate of home range far beyond that utilised in the animal's normal activities.
As in previous analyses (Weaver et al. 2003a), we evaluated models for linear regression assumptions and the presence of outlying points using added variable plots (Weisberg 1985), which are graphical summaries of the relation between y and a particular x adjusted for the other covariates.
Because the consumption data for each food predictor were typically characterized by a large number of zero values, and a smaller number of nonzero values depending on the number of subjects who ate that food, the regression parameters may be unduly influenced by outlying points.
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