Analyzing outliers: robust methods to the rescue

被引:23
作者
Greco, Luca [1 ]
Luta, George [2 ]
Krzywinski, Martin [3 ]
Altman, Naomi [4 ]
机构
[1] Univ Sannio, Stat, Benevento, Italy
[2] Georgetown Univ, Biostat, Washington, DC USA
[3] Canadas Michael Smith Genome Sci Ctr, Vancouver, BC, Canada
[4] Penn State Univ, University Pk, PA 16802 USA
关键词
D O I
10.1038/s41592-019-0369-z
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Robust regression generates more reliable estimates by detecting and downweighting outliers.
引用
收藏
页码:275 / 276
页数:2
相关论文
共 3 条
[1]   Analyzing outliers: influential or nuisance? [J].
Altman, Naomi ;
Krzywinski, Martin .
NATURE METHODS, 2016, 13 (04) :281-282
[2]  
Farcomeni A., 2015, Robust methods for data reduction
[3]  
Maronna R. A, 2018, ROBUST STAT THEORY M