Skip navigation
Skip navigation

An adaptive, automatic multiple-case deletion technique for detecting influence in regression

Roberts, Steven; Zheng, Letian; Martin, Michael


Critical to any regression analysis is the identification of observations that exert a strong influence on the fitted regression model. Traditional regression influence statistics such as Cook's distance and DFFITS, each based on deleting single observations, can fail in the presence of multiple influential observations if these influential observations "mask" one another, or if other effects such as "swamping" occur. Masking refers to the situation where an observation reveals itself as...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: Technometrics
DOI: 10.1080/00401706.2014.946152


File Description SizeFormat Image
01_Roberts_An_adaptive,_automatic_2014.pdf534.43 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator