Software solutions for identifying outliers

An outlier is an observation that appears to deviate evidently from other observations in the sample. It is important to identify an outlier because it may suggest erroneous data or, in some cases, outliers may be due to random variation or may indicate something scientifically interesting. However,...

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Main Author: Nicolae - Marius Jula
Format: Article
Language:English
Published: "Nicolae Titulescu" University of Bucharest 2015-03-01
Series:Computational Methods in Social Sciences
Subjects:
Online Access:http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_II_issue_2/CMSS_vol_II_issue_2_art.001.pdf
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author Nicolae - Marius Jula
author_facet Nicolae - Marius Jula
author_sort Nicolae - Marius Jula
collection DOAJ
description An outlier is an observation that appears to deviate evidently from other observations in the sample. It is important to identify an outlier because it may suggest erroneous data or, in some cases, outliers may be due to random variation or may indicate something scientifically interesting. However, if the data contains significant outliers, the analyst should consider the use of robust statistical techniques. We demonstrate how to identify outliers in electoral data using informatics methods. An outlier in these datasets may suggest a not necessarily an erroneous data, but an untypical situation – more votes from special lists that the regular registered in that area.
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spelling doaj.art-7cb393c0ea92444180e1ee2b91db11ab2023-09-02T20:53:23Zeng"Nicolae Titulescu" University of BucharestComputational Methods in Social Sciences2344-12322344-12322015-03-0122514Software solutions for identifying outliersNicolae - Marius Jula0Nicolae Titulescu University and Romani an AcademyAn outlier is an observation that appears to deviate evidently from other observations in the sample. It is important to identify an outlier because it may suggest erroneous data or, in some cases, outliers may be due to random variation or may indicate something scientifically interesting. However, if the data contains significant outliers, the analyst should consider the use of robust statistical techniques. We demonstrate how to identify outliers in electoral data using informatics methods. An outlier in these datasets may suggest a not necessarily an erroneous data, but an untypical situation – more votes from special lists that the regular registered in that area.http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_II_issue_2/CMSS_vol_II_issue_2_art.001.pdfoutlierelectoral dataelectoral outcome.
spellingShingle Nicolae - Marius Jula
Software solutions for identifying outliers
Computational Methods in Social Sciences
outlier
electoral data
electoral outcome.
title Software solutions for identifying outliers
title_full Software solutions for identifying outliers
title_fullStr Software solutions for identifying outliers
title_full_unstemmed Software solutions for identifying outliers
title_short Software solutions for identifying outliers
title_sort software solutions for identifying outliers
topic outlier
electoral data
electoral outcome.
url http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_II_issue_2/CMSS_vol_II_issue_2_art.001.pdf
work_keys_str_mv AT nicolaemariusjula softwaresolutionsforidentifyingoutliers