Software solutions for identifying outliers
Nicolae Jula ()
Computational Methods in Social Sciences (CMSS), 2014, vol. 2, issue 2, 05-14
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.
Keywords: outlier; electoral data; electoral outcome (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://cmss.univnt.ro/wp-content/uploads/vol/split ... _issue_2_art.001.pdf First version, 2014 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:ntu:ntcmss:vol2-iss2-14-005
Access Statistics for this article
Computational Methods in Social Sciences (CMSS) is currently edited by Bogdan Oancea
More articles in Computational Methods in Social Sciences (CMSS) from "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences Contact information at EDIRC.
Series data maintained by Stefan Ciucu ().