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English
Adjective
bias-robust (comparative more bias-robust, superlative most bias-robust)
- Pertaining to statistics that are relatively unbiased even when some assumptions about the data or the model do not hold true.
2002, Usama M. Fayyad, Georges G. Grinstein, Andreas Wierse, Information Visualization in Data Mining and Knowledge Discovery, page 310:The theory of bias-robust regression 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 , computed as suggested in .
2011, Survey Methodology - Volumes 37-38, page 153: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.
Derived terms