Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF)

Abuzaid Ali H. ()
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Abuzaid Ali H.: Department of Mathematics, Al Azhar University, – Gaza, Palestine Israel .

Statistics in Transition New Series, 2020, vol. 21, issue 3, 39-51

Abstract: The problem of outlier detection in univariate circular data was the object of increased interest over the last decade. New numerical and graphical methods were developed for samples from different circular probability distributions. The main drawback of the existing methods is, however, that they are distribution-based and ignore the problem of multiple outliers.

Keywords: discordancy; distance; multiple outliers; neighbours; spacing theory. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:21:y:2020:i:3:p:39-51:n:6

DOI: 10.21307/stattrans-2020-043

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