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Software solutions for identifying outliers

Author

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  • Nicolae-Marius Jula

    (Nicolae Titulescu University and Romanian Academy Bucharest)

Abstract

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.

Suggested Citation

  • Nicolae-Marius Jula, 2014. "Software solutions for identifying outliers," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 2(2), pages 05-14, December.
    • Handle: RePEc:ntu:ntcmss:vol2-iss2-14-005
    as

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    References listed on IDEAS

    as
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    3. Alberto Alesina & Nouriel Roubini & Gerald D. Cohen, 1997. "Political Cycles and the Macroeconomy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262510944, December.
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