Multiple Outlier Detection: Hypothesis Tests versus Model Selection by Information Criteria
The detection of multiple outliers can be interpreted as a model selection problem. Models that can be selected are the null model, which indicates an outlier free set of observations, or a class of alternative models, which contain a set of additional bias parameters. A common way to select the rig...
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Format: | Article |
Language: | English |
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Hochschule für Technik und Wirtschaft Dresden
2017
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Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:520-qucosa-225770 http://nbn-resolving.de/urn:nbn:de:bsz:520-qucosa-225770 http://www.qucosa.de/fileadmin/data/qucosa/documents/22577/Qucosa.pdf |