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Moreover, to guarantee the convergence of identification and tracking errors, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the FNNs.
First, the observed differences in the results between the different population groups could be explained with different selection criteria for the samples (preanalytical phase), technical errors (analytical phase), and differences in the preferred statistical methods with or without corrections (postanalytical phase).
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The minimal errors between analytical formulas and Monte Carlo results imply the accuracy of the proposed method.
Here is a factual error, marred by an analytical error, compounded by a moral error.
The report also presents the dynamic error detailed analytical dependence on the number of the numerical modeling grid nodes.
Figure 11 Probability of error for analytical (solid) vs simulation (dotted).
For the samples which were not analyzed in duplicates, error bars represent the analytical error estimated from the analyses of standards (0.3 ‰).
Analytical errors (within the laboratory) and post-analytical errors (reporting and interpretation of results) are less frequent [ 2, 13].
All isotope data has a 2-sigma age error of 0.1 0.3 Ma and δDwax and δ18Osc represent pooled precisions of 0.5% based on external isotope standards and analytical errors, respectively.
The American Diabetes Association ADAA) stipulates the most stringent goals, aiming for an analytical error <5% or total error (user plus analytical) <10% (7– 13).
"At the other end of the spectrum is the magnitude of the analytical errors.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com