Abstract
Outliers are sample values which cause surprise in relation to the majority of the sample. This is not a pejorative term; outliers may be correct, but they should always be checked for transcription errors. They can play havoc with standard statistical methods, and many robust and resistant methods have been developed since 1960 to be less sensitive to outliers.
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© 1994 Springer Science+Business Media New York
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Venables, W.N., Ripley, B.D. (1994). Robust Statistics. In: Modern Applied Statistics with S-Plus. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-2819-1_8
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DOI: https://doi.org/10.1007/978-1-4899-2819-1_8
Publisher Name: Springer, New York, NY
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