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It can be seen that the highest errors are associated with the data set contaminated with the highest noise level (20 %), which is not unexpected.
For all isotopic datasets, the highest errors are related to pyruvate, consistently with the above results.
Figure 3B shows a map of standard errors, indicating that the highest errors are found in the SNNP regions followed by Amhara and Oromiya regions, compared to the rest of the country.
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Of the 10 measurements, the 2 highest errors were eliminated to reduce variability and the mean of 8 measures was used for analysis.
The proposed methods are oriented towards higher frame rates, and higher errors are therefore tolerable.
As the noise variance increases, higher errors are obtained by all methods.
In the inference part, after determining the error associated with each fuzzy rule, the rule with the highest error is identified and refined.
After parameter estimation, the RMSE is computed, and if it is larger than the threshold value, the point with the highest error is removed.
The highest error is observed for compound 11, 34, and 43.
In addition, in tests that included the skewness, higher errors were found in fixed cells.
Indeed, extremely high errors were obtained for all parameters when setting β to a value 10-fold larger than the true one (M β, Table 1 ).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com