Zx magnitude (300 [OMEGA]) estimation bias error
The causes of the bias error
can be an inappropriate model for the calibration curve, incorrect values assigned to the calibrators, and a difference in behavior between calibrators and CSs (not the same relationship between concentration and response).
In the alignment process, the alignment accuracy can be improved if the misalignment angles and gyro bias error
can be effectively estimated.
One- and two-hour forecasts found that ANNs outperformed other techniques in terms of mean absolute error (MAE) and mean bias error
The designer can use this data to identify additional tube lengths required to reduce bias error
associated with the meter station design.
Thus total uncertainty may still be quite large, even with optimistic bias error
transforms a single result into a band of results, resulting from multiplying the single result by the positive and negative percentages of bias error
The mean bias error
(MBE) from models based on short data sets (one month) varied from -15% to 40% in their study.
The correct construction of model over data is defined by introducing two measures of error: BIAS error
and RMSE error.
There are two calibration criteria to specify the validity of the calibrated simulation model in ASHRAE Guideline 14-2002: Mean Bias Error
(MBE) and Coefficient of Variation of the Root-Mean-Squared Error ([C.sub.v](RMSE)) [ASHRAE 2002].
The model results are evaluated using mean bias error
(MBE), root mean square error (RMSE), mean percentage error (MPE), and mean absolute bias error
(MABE) statistical criteria.