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A comment on outlier detection and skewed distributions
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0003-2317-9157
2017 (English)Report (Other academic)
Abstract [en]

It seems that a paper of mine appearing in Computational Statistics & Data Analysis (Carling, 2000) has prompted the development of outlier detection methods for highly skewed data. However, I wrote the paper in the spirit of Exploratory Data Analysis (Tukey, 1977) and I shared Tukey’s opinion, and I still hold it, that skewed data are better to be transformed for approximate symmetry prior to detection of outliers (or other data analyses).

Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2017.
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2017:02
Keywords [en]
Box-plot, Non-Normality, Outlier rules
National Category
Probability Theory and Statistics
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - methods
Identifiers
URN: urn:nbn:se:du-26447OAI: oai:DiVA.org:du-26447DiVA, id: diva2:1150975
Available from: 2017-10-20 Created: 2017-10-20 Last updated: 2017-10-20Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf