A Method for Detecting Outliers in Fuzzy Regression

• Autorzy: Barbara Gładysz
• Języki publikacji: EN

Abstrakty

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. (original abstract)

Słowa kluczowe

EN

Fuzzy regression; Regression models; Possibility theory

PL

Regresja rozmyta; Modele regresji; Teoria możliwości

• Czasopismo: Operations Research and Decisions
• Rocznik: 2010
• Tom: 20
• Numer: nr 2
• Strony: 25--39

Twórcy

autor

Barbara Gładysz

• Wrocław University of Technology

Bibliografia

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