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The error is estimated as high as ζ = 0.56 eV in the case of the RPBE functional.
Finally, the 0.632 + bootstrap is repeated n times, and the final bootstrap error is estimated as follows: (3) E = 1 n ∑ i = 1 n (0.368 α i + 0.632 β i ), where α i and β i are the training error and test error on the ith resampling stage.
The model error is estimated as the difference between the models given by the straight and curved paths.
From the simulation result, the type I error is estimated as 0.02, which is smaller than the nominal level of 0.05.
Similar(56)
The average absolute error was estimated as 3.7% in LSV, 4.6% in DPP for adenine and 5.2% in LSV, 5.9% in DPP for cytosine.
The error was estimated as standard deviations of the sensitivity values.
The error was estimated as (1-R^2), wheR^2(R^2) is the correlation coefficient between the multislice and PRISM simulation pixel intensities.
Type one error was estimated as the proportion of non-associated SNPs (>2.5 million tests in total) showing association P-value of 5% or less.
For the frequentist approaches, the variance of the random effects was estimated zero and the standard error was estimated as zero or could not be estimated.
While mismatch increased for higher z values, the error was estimated as acceptable due to the exponential decrease of total illumination intensity.
Error in discharge was estimated at 6%. Cumulative error was estimated as the square root of the sum of the squared error from the component measurements in the flux calculations.
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