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• A principal subspace theorem for multivariate mixture distributions is proved based on the notion of self-consistency. • The results are used to characterize principal points for multivariate skew-normal distributions. • The results are used in projection pursuit to find projections of multivariate data that deviate from normality. AMS subject(More)
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