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We present two error estimation approaches for bounding or correcting the error in functional estimates such as lift or drag.
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Nonetheless, the presence of inadequate ECG gating should always be recognized and subsequent errors in perfusion or functional estimates should be described.
In contrast, the Sircombe-Hazelton L2-norm uses Kernel Functional Estimates (KFEs), which use exactly the opposite strategy as PDPs.
Unbiased functional estimating equations are constructed, resulting in asymptotically unbiased estimators.
The technique, called Dynamic Connectivity Regression (DCR), detects temporal change points in functional connectivity and estimates a graph, or set of relationships between ROIs, for data in the temporal partition that falls between pairs of change points.
Contrary to these trends in functional richness, the estimates of functional evenness and functional dispersion (FEve and FDis; Figure 3A) did not vary among habitat types (H = 0.109, P = 0.95; and H = 5.32, P = 0.07, respectively).
This task arises for example in dynamic renal scintigraphy, where impulse response or retention functions are estimated, or in functional magnetic resonance imaging where hemodynamic response functions are required.
Darwinian fitness, the crucial parameter in functional ecological studies, was estimated by the number of seed capsules produced.
Participants categorized with a decline in functional status had an estimated probability of being in the high expenditure group of only 13.7% higher than for those who had an unchanged functional status.
Multi-species procedures also did not introduce large errors in functional parameter or annual catchability estimates, even when density dependence and trend were absent or when between-species variability was high.
As the hazard ratio was 0.98 for the amount of LTC services, this means that for each day of added services used, the probability of decline in functional status decreased by an estimated 2%.
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