Abstract
A robust version of general procedure of sensitivity analysis is proposed for detecting influential subsets of observations in multivariate methods in which influence functions are available. A numerical investigation is carried out to illustrate the performance of the proposed procedure for detecting two types of perturbed observations in confirmatory factor analysis.
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© 1994 Springer-Verlag Berlin Heidelberg
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Tanaka, Y., Watadani, S. (1994). Unmasking Influential Observations in Multivariate Methods. In: Dutter, R., Grossmann, W. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-52463-9_33
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DOI: https://doi.org/10.1007/978-3-642-52463-9_33
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0793-6
Online ISBN: 978-3-642-52463-9
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