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Why OUTLIERS are good for science
Author(s) -
Bailey David
Publication year - 2018
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/j.1740-9713.2018.01105.x
Subject(s) - outlier , sign (mathematics) , scientific evidence , computer science , mathematics , statistics , artificial intelligence , mathematical analysis
Scientific measurements are never perfect, but different teams studying the same phenomena can often produce widely different results. These “outlier” values are the cause of much consternation – but they may also be a sign of healthy scientific progress, says David Bailey