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Based on the expression of error derivation, a mathematical tractable form of BER in specific cases can be expressed by following propositions.
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Bias could not be compared with its standard error, the derivation of which is based on the Hessian/Fisher Information matrix of the log-likelihood function (Sakamoto et al., 1983), since the standard error of concerns only random errors, while the bias originates from systematic errors.
On the nature of modeling, our model may be accompanied by errors in derivation.
Nonetheless, this assumption of the relays' knowledge of erroneous symbol after detection facilitates the error probability derivations.
Although the data we use here have been thoroughly filtered for errors, our derivation of the bond-valence parameters (below) foregoes this practice to reduce the possibility of such bias.
It is shown, however, that there is an error in the derivation of this result.
To quantify the measurement error, a rigorous derivation was carried out for spherical bubbles to bridge the measured value with the true bubble velocity.
The problems with them are illustrated and a modification, arising from an earlier trigonometrical derivation error, is also presented and directly paralleled with the original versions.
Table 1: ACIS Background Calibration Product Files Group "E" Recent discussions of the LETG Higher-Order efficiency extraction regions have identified an order of 10% error in the derivation of the existing 2004 Grating Efficiency (GREFF) calibrations for the LETG, currently stored in version N0005 of the file in CalDB.
The standard derivation error is also calculated.
Table 1 Mean error and standard derivation in five fingertips Little finger Ring finger Middle finger Fore finger Thumb Mean error (pixels) 5.31 7.42 9.711.2323 8.65 Standard deviation 3.12 5.41 3.12 7.53.1222.
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