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Figure 6 ASM scalar residual probability characteristics.
The hidden device problem may result in some residual probability of interference [26].
In the first one, called "peaky" distribution, the central view has a given probability p c and the other views share uniformly the residual probability.
Finally, we consider a "bimodal" distribution where two views, symmetrical with respect to the central one, have the same probability, and the remaining share the residual probability.
In the final model the classification was improved by eliminating the regression constant, and the betweenness centrality variable, p =.655, was also dropped due to its high residual probability.
In the final model the classification was improved by eliminating the authority centrality variable, p =.451, betweenness centrality, p = .329, degree centrality, p =.454, eigenvector centrality, p =.854, hub centrality, p = .329, were also dropped due to their high residual probability.
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We suggest that this is a much more appropriate approach than aggregating the sums of small residual probabilities of unlikely causes, which can lead to misleading results over large numbers of cases.
This approach is based on the minimization of a generalized objective function, which is obtained from residuals probability density function estimation.
Open image in new window Fig. 1 Least-squares estimation residuals probability density function: normalized residuals of non-weighted GNSS snapshot solution (e-LS), normalized residuals of C N o weighted snapshot solution (e-WLS) and the theoretical model.
Hence the residual risk probability that is left out after various layers of protection is of interest and it should be tolerable.
In this case, the SW theorem proves that the minimum rate is still with a residual error probability which tends towards 0 for long sequences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com