Identification of Outliers in a One-Way Random Effects Model

dc.contributor.author	Gather, Ursula	de
dc.contributor.author	Wellmann, Jürgen	de
dc.date.accessioned	2004-12-06T18:43:26Z
dc.date.available	2004-12-06T18:43:26Z
dc.date.issued	2000
dc.description.abstract	We distinguish between three types of outliers in a one-way ran-dom effects model. These are formally described in terms of their position relative to the main part of the observations. We propose simple rules for identifying such outliers and give an example which involves median-based statistics.	en
dc.format.extent	230466 bytes
dc.format.extent	525856 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5059
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-5384
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	median	en
dc.subject	median absolute deviation	en
dc.subject	mixed linear model	en
dc.subject	random effects	en
dc.subject	robust statistics	en
dc.subject	variance components	en
dc.subject.ddc	310	de
dc.title	Identification of Outliers in a One-Way Random Effects Model	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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