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A graphical technique for detecting influential cases in regression analysis

Lookup NU author(s): Dr Baibing Li, Professor Elaine Martin, Emeritus Professor Julian Morris


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This paper presents a graphical technique for detecting influential cases in regression analysis. The idea is to decompose a diagnostic problem involving higher order dimensional regression problems, into a series of two-dimensional diagnostic subproblems, such that the diagnoses of influential cases is undertaken by visually inspecting two-dimensional diagnostic plots of these sub-problems. An algorithm for the graphical procedure is proposed to reduce the computational effort. Practical examples are used to illustrate this graphical technique. Copyright © 2001 by Marcel Dekker, Inc.

Publication metadata

Author(s): Martin EB; Li B; Morris AJ

Publication type: Article

Publication status: Published

Journal: Communications in Statistics - Theory and Methods

Year: 2001

Volume: 30

Issue: 3

Pages: 463-483

Print publication date: 01/01/2001

ISSN (print): 0361-0926

ISSN (electronic): 1532-415X

Publisher: Taylor & Francis


DOI: 10.1081/STA-100002092


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