Visualizing Diagnostic of Multicollinearity: Tableplot and Biplot Methods

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dc.contributor.authorAlkan, B. Barış
dc.contributor.authorAtakan, Cemal
dc.date.accessioned2014-09-01T07:22:20Z
dc.date.available2014-09-01T07:22:20Z
dc.date.issued2013
dc.description.abstractIn this study we tried to bring out the importance of two methods used for visualizing multicollinearity diagnostics. The first method is called Tableplot (see Friendly and Kwan, 2009). Through this technique, multicollinearity diagnostics ideas are combined with a visualizing approach. The second method is called Biplot (see Gabriel, 1971; Gower and Hand, 1996). The biplot technique is used for demonstrating significant properties of multivariate data structure. Both of these approaches have been examined by one real and three artificial data. Results indicate that Biplot method is preferred to instead of Tableplot for too large condition indexes.
dc.identifier.citationAlkan, B. B., Atakan, C. "Visualizing Diagnostic of Multicollinearity: Tableplot and Biplot Methods". Pakistan Journal of Statistics, 2013 Vol. 29(1), 59-78.
dc.identifier.issn1012-9367
dc.identifier.scopus2-s2.0-84875707299
dc.identifier.urihttp://www.pakjs.com/journals/29%281%29/29%281%295.pdf
dc.identifier.urihttps://hdl.handle.net/11486/497
dc.identifier.wosWOS:000313200300005
dc.language.isoen
dc.publisherPakistan Journal of Statistics
dc.relation.publicationcategoryMakale - Kategorisiz
dc.subjectMulticollinearty
dc.subjectBiplot
dc.subjectTableplot
dc.subjectVisualizing approach
dc.titleVisualizing Diagnostic of Multicollinearity: Tableplot and Biplot Methods
dc.typeArticle

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