Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2006

Influence diagnostics in exponentiated-Weibull regression models with censored data

  • Datos identificativos

    Identificador: RP:2303
  • Autores:

    Bolfarine, Heleno
    Cancho, Vicente G.
    Ortega, Edwin M. M.
  • Otros:

    Autor/es de la URV: Bolfarine, Heleno Cancho, Vicente G. Ortega, Edwin M. M.
    Resumen: Diagnostic methods have been an important tool in regression analysis to detect anomalies, such as departures from the error assumptions and the presence of outliers and influential observations with the fitted models. The literature provides plenty of approaches for detecting outlying or influential observations in data sets. In this paper, we follow the local influence approach (Cook 1986) in detecting influential observations with exponentiated-Weibull regression models. The relevance of the approach is illustrated with a real data set, where it is shown that by removing the most influential observations, there is a change in the decision about which model fits the data better.
    Año de publicación de la revista: 2006
    Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article