bias-robust

English

Adjective

bias-robust (comparative more bias-robust, superlative most bias-robust)

  1. 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 [ 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].
    • 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

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