bias-robust
adj1
Mathematics, Sciences, Statistics Describing statistics that are relatively unbiased even when some assumptions about the data or the model do not hold true.
- The theory of bias-robust regression [ Mar89 ] provides guidelines for the selection of good robust estimators. For calculating beta, either of the following two bias-robust estimators work quite well: (a) an adaptive least trimmed squares estimate, and (b) an MM estimate of [Yoh88], computed as suggested in [Yoh91].2002, Usama M. Fayyad, Georges G. Grinstein, Andreas Wierse, Information Visualization in Data Mining and Knowledge Discovery, page 310:
- Bias-robust methods for estimating the mean squared error ( MSE ) of linear predictors of finite population quantities, i.e., methods that remain approximately unbiased under failure of assumptions about second order and higher moments, have been developed.2011, Survey Methodology - Volumes 37-38, page 153:
- Derived terms
- bias-robustness