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It is demonstrated that although the error of prediction slightly increases in contrast to the data without noise, the model captures essential features of the studied transient process.
Although the error of estimated associations decreases with increasing amount of individual participant data, it does not disappear completely, even in very large datasets.
The fit indices associated with the confirmatory factor analysis model were satisfactory, although the error of approximation was an exception and did not indicate an optimal fit, which may possibly be due to an effect of our specific study population on the factor structure.
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Although within the error of the experiment, paradoxically it could be suggested the level of transcript accumulation decreased under the salt treatment.
Although the errors of both experimentally measured and mathematical approaches are smaller, the use of these two models is much more complicated and time consuming than using the handy SAP2000 model.
It is shown that although the errors of evaluation are quite large for low-resolution images, the statistical difference present in the original data is still observed for parameters that depend only on the global characteristics of trabecular structure or marrow space, or depend only linearly on the number and area of disconnected parts of marrow space or trabecular structure.
Although the errors of the likelihood estimates between specific pairs of populations are quite variable, as commonly observed in single locus analyses [ 12, 13], several trends clearly emerge from our analyses based on averages rates or pooled samples.
These peculiarities of the algorithm and the problem itself lead to different parameter values, although the errors of the decoupled and integrated system are still small (typically about at the order of 1e-5; for instance, see Tables 23, 29 and 30 in the Additional file 1).
Although this difference probably is within the error of both TGA and VSM, another reason might be incomplete decomposition/evaporation of proteins during heating up to 330 °C.
Although how the errors of PDCCH affects the data receiving on PDSCH is beyond the scope of this study, a mapping function is required to describe the relationship between SERC and SERU/C that is SER U/C = α SER C (17) Figure 6 Reliability relationship between C-plane and U-plane.
In the last few years, these tandem mass spectrometry methods (1) have been used in the large-scale identification of phosphorylation sites, although the error rate of these experiments is difficult to estimate (2).
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