bias-robust

comparative more bias-robust · superlative most bias-robust

1. mathematicsDescribing statistics that are relatively unbiased even when some assumptions about the data or the model do not hold true.

   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

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   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