bias error

bias error

[′bī·əs ‚er·ər]
(statistics)
A measurement error that remains constant in magnitude for all observations; a kind of systematic error.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
Zx magnitude (300 [OMEGA]) estimation bias error vs.
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 (MBE).
The designer can use this data to identify additional tube lengths required to reduce bias error associated with the meter station design.
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.