Diagnostic plot for the Identification of high leverage collinearity-influential observations
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Arezoo Bagheri [2] ; Habshah Midi [1]
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[1] Universiti Putra Malaysia
Universiti Putra Malaysia
Malasia
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[2] National Population Studies and Comprehensive Management Institute
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- Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 39, Nº. 1, 2015, págs. 51-70
- Idioma: inglés
- Enlaces
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Resumen
High leverage collinearity influential observations are those high leverage points that change the multicollinearity pattern of a data. It is imperative to identify these points as they are responsible for misleading inferences on the fitting of a regression model. Moreover, identifying these observations may help statistics practitioners to solve the problem of multicollinearity, which is caused by high leverage points. A diagnostic plot is very useful for practitioners to quickly capture abnormalities in a data. In this paper, we propose new diagnostic plots to identify high leverage collinearity influential observations. The merit of our proposed diagnostic plots is confirmed by some well-known examples and Monte Carlo simulations.
