bias-robust
bias-robust adjective: describing statistics that are relatively unbiased even when some assumptions about the data or the model do not hold true.
Adjective
bias-robust (comparative more bias-robust, superlative most bias-robust)
- 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...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
Forms of bias-robust
| comparative | more bias-robust |
|---|---|
| superlative | most bias-robust |
Words formed from bias-robust
Questions about bias-robust
- What does bias-robust mean?
- Bias-robust means describing statistics that are relatively unbiased even when some assumptions about the data or the model do not hold true.
- What part of speech is bias-robust?
- Bias-robust is an adjective.
Words near bias-robust in the dictionary
Source and license
Adapted from Wiktionary: bias-robust (page history and authors). Text available under the Creative Commons Attribution-ShareAlike 4.0 license. Word.ws reformatted the entry and added links. Wiktionary data of 2026-09-02.
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