Diagnostic plot for the Identification of high leverage collinearity-influential observations
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/88519
Tipus de documentArticle
Data publicació2015-06
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
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.
CitacióBagheri, Arezoo; Midi, Habshah. Diagnostic plot for the Identification of high leverage collinearity-influential observations. "SORT", Juny 2015, vol. 39, núm. 1, p. 51-70.
ISSN1696-2281
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39.1.4.bagheri-midi.pdf | 317,5Kb | Visualitza/Obre |