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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.
Author(s): Martin EB; Li B; Morris AJ
Publication type: Article
Publication status: Published
Journal: Communications in Statistics - Theory and Methods
Print publication date: 01/01/2001
ISSN (print): 0361-0926
ISSN (electronic): 1532-415X
Publisher: Taylor & Francis
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