97480 articleid 16962281v30n2p171 eng Ortega, Edwin M. M. Influence diagnostics in exponentiated-Weibull regression models with censored data 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. Tots els drets reservats http://www.europeana.eu/rights/rr-f/ Anglès Article de fons Exponentiated-Weibull distribution Censored data Local influence Influence diagnostic Survival data info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Cancho, Vicente G. Bolfarine, Heleno Vol. 30, Núm. 2 (July-December 2006), p. 171-192 SORT : statistics and operations research transactions 1696-2281 22 342606 http://ddd.uab.cat/uab/sort/sort_a2006m7-12v30n2/sort_a2006m7-12v30n2p171.pdf 0171 192 July-December 2 30 sort_a2006m7-12v30n2 2006 ARTPUB SORT UAB artpubuab oai:ddd.uab.cat:97480 driver