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Lookup NU author(s): Emeritus Professor Julian Morris, Professor Elaine Martin
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The detection of multiple influential cases in principal component analysis through case-deletion necessitates the investigation of a large number of combinations of observation cases to locate the influential cases. In this article, a graphical technique is proposed for the detection of multiple influential cases in principal component analysis based on the empirical influence curve. Detection of multiple influential cases is undertaken by visually inspecting outlying points in a series of two-dimensional diagnostic plots. It is shown that the proposed graphical method is easily interpretable and incurs very low computational costs. A practical example based on soil composition data that has been used in previous studies into multiple influential cases is used to illustrate the proposed graphical technique.
Author(s): Li B, Morris AJ, Martin EB
Publication type: Article
Publication status: Published
Journal: Communications in Statistics Part B: Simulation and Computation
Year: 2003
Volume: 32
Issue: 2
Pages: 489-503
Print publication date: 01/05/2003
ISSN (print): 0361-0918
ISSN (electronic): 1532-4141
Publisher: Taylor & Francis Inc.
URL: http://dx.doi.org/10.1081/SAC-120017503
DOI: 10.1081/SAC-120017503
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