Influence functions and outlier detection under the common principal components model: A robust approach

Graciela Boente

Biometrika, 2002, vol. 89, issue 4, 861-875

Abstract: The common principal components model for several groups of multivariate observations assumes equal principal axes but different variances along these axes among the groups. Influence functions for plug-in and projection-pursuit estimates under a common principal component model are obtained. Asymptotic variances are derived from them. Outlier detection is possible using partial influence functions. Copyright Biometrika Trust 2002, Oxford University Press.

Date: 2002
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