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  • 标题:Software solutions for identifying outliers
  • 本地全文:下载
  • 作者:Jula, Nicolae
  • 期刊名称:Computational Methods in Social Sciences (CMSS)
  • 印刷版ISSN:2344-1232
  • 出版年度:2014
  • 卷号:2
  • 期号:2
  • 页码:05-14
  • 出版社:"Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences
  • 摘要: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.
  • 关键词:outlier; electoral data; electoral outcome
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