Beyaztas, Ufuk; Alin, Aylin; Martin, Michael A. - In: Journal of Applied Statistics 41 (2014) 7, pp. 1593-1610
The Jackknife-after-bootstrap (JaB) technique originally developed by Efron [8] has been proposed as an approach to improve the detection of influential observations in linear regression models by Martin and Roberts [12] and Beyaztas and Alin [2]. The method is based on the use of...