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Field experiments have been conducted to evaluate the system's performance, and have demonstrated good accuracy on both regular surface and sloped surface, showing maximal absolute errors of 11.3 mm and −12.8 mm, as well as maximum relative errors of 7.40% and 8.53% for the field experiments respectively.
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Table 2 demonstrates the forecasting error statistics of f K,M 1 and f K,M 2 to help illustrate the effect of multi-order models, including mean error (ME), variance, RMSE and maximal absolute error.
The objective function value finally reached was 0.0517, with a maximal absolute error between interpolated data and model of 0.5828.
Maximum absolute errors have been tabulated.
The maximum absolute errors are tabulated in Tables 4-6.
Model validated using R-squared, root mean square error, mean absolute percentage error, maximum absolute percentage error, mean absolute error, maximum absolute error, normalized Bayesian information criterion, Ljung Box analysis, predicted value and confidence limits.
The maximum absolute error is (7.47 times10^{-4}).
Table 1 Maximum absolute error for Example 1 N Max.
The maximum absolute error was 5.4°.
Independent sample sizes were calculated for NCs and PTCs on the basis of the expected prevalence of rifampin resistance per group (5% for NCs and 15% for PTCs), maximal acceptable absolute error of 2.5% for NCs and 4.0% for PTCs, and 95% CI.
Table 1 Absolute errors for Example 4.1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com