Autor/es de la URV: Midi, Habshah Bagheri, Arezoo

Palabras clave: Collinearity influential observation, diagnostic robust generalized potential, high lever-age points, multicollinearity.

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.

Año de publicación de la revista: 2015

Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article