The identification of outliers in exponential samples.

Autor: Schultze, V., Pawlitschko, J.

Publikováno v: Statistica Neerlandica. Mar2002, Vol. 56 Issue 1, p41. 17p.

Outlier identification rules for generalized linear models

Autor: Kuhnt, S., Pawlitschko, J., Baier, D., Warnecke, K.D.

Publikováno v: Innovations in Classification, Data Science, and Information Systems (Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Cottbus, Germany, March 12–14, 2003), Part II, 165-172
STARTPAGE=165;ENDPAGE=172;TITLE=Innovations in Classification, Data Science, and Information Systems (Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Cottbus, Germany, March 12–14, 2003), Part II
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 3540232214

Observations which seem to deviate strongly from the main part of the data may occur in every statistical analysis. These observations, usually labelled as outliers, may cause completely misleading results when using standard methods and may also con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13ab154a05579a462ab6848723b66cae
https://research.tue.nl/nl/publications/c46bdeeb-4363-41b6-989d-fec9a6a27cb3

The identification of outliers in exponential samples

Autor: Pawlitschko, J., Schultze, V.

In this paper, the task of identifying outliers in exponential samples is treated conceptionally in the sense of Davies and Gather (1989, 1993) by means of a so-called outlier region. In case of an exponential distribution, an empirical approximation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34ef0a77e999386a987460f4dc3c8cec
http://hdl.handle.net/2003/4836

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