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Sensitivity analysis in principal component analysis:influence on the subspace spanned by principal components.
Authors:Yukata Tanaka
Affiliation:Department of Statistics , Okayama university , Tsushima , okayama , 700 , Japan
Abstract:The problem of detecting influential observations in principalcomponent analysis was discussed by several authors. Radhakrishnan and kshirsagar ( 1981 ), Critchley ( 1985 ), jolliffe ( 1986 )among others discussed this topicby using the influence functions I(X;θs)and I(X;Vs)of eigenvalues and eigenvectors, which wwere derived under the assumption that the eigenvalues of interest were simple. In this paper we propose the influence functionsI(X;∑q s=1θsVsVs T)and I(x;∑q s=1VsVs t)(q
Keywords:Sensitivity analysis  influence functiuon  principal component analysis  perturbation theory vof eigenvalue problems  multiple eigenvalues
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