This master thesis is focused on methods of outlier detection. The aim of this work is to assess the suitability of using robust methods on real data of EKO-KOM, a.s. The first part of the thesis provides an overview and a theoretical treatise on classic and robust methods of outlier detection. These methods are subsequently applied to the obtained data file of EKO-KOM, a.s. in the practical part of the thesis. At the conclusion of the thesis, there are recommendations about suitability of methods, which are based on comparison of classical and robust methods.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:359261 |
Date | January 2017 |
Creators | Hradilová, Lenka |
Contributors | Blatná, Dagmar, Černý, Jindřich |
Publisher | Vysoká škola ekonomická v Praze |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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