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2010 | 20 | 2 | 25-39
Article title

A method for detecting outliers in fuzzy regression

Selected contents from this journal
Title variants
Languages of publication
EN
Abstracts
EN
In this article we propose a method for identifying outliers in fuzzy regression. Outliers in a sample may have an important influence on the form of the regression equation. For this reason there is great scientific interest in this issue. The method presented is analogous to the method of finding outliers based on the studentized distribution of residuals. In order to identify outliers, regression models are constructed with an additional explanatory variable for each observation. Next, the significance of a fuzzy regression coefficient is analysed considering this additional explanatory variable. Illustrative examples are presented.
Year
Volume
20
Issue
2
Pages
25-39
Physical description
Contributors
  • Institute of Organization and Management, Department of Management, Wrocław University of Technology, ul. Smoluchowskiego 25, 50-372 Wrocław, Poland, barbara.gladysz@pwr.wroc.pl
References
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-36222337-fad3-4e90-bce7-4b493f6b794f
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