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L'auteur propose une analyse en composantes principales robuste. La méthode, fondée sur des estimateurs de dispersion robustes, est intéressante; des propriétés asymptotiques sont étudiées sous certaines conditions. Malheureusement, il ne semble pas très aisé, a priori, d'étendre ce travail à d'autres distributions que les bivariées.
Statistics and Probability, Numerical Analysis, consistency, asymptotic normality, linearization, robustness, Factor analysis and principal components; correspondence analysis, robust estimator for dispersion, Principal component, Robustness and adaptive procedures (parametric inference), Statistics, Probability and Uncertainty, robust estimators for dispersion, principal components
Statistics and Probability, Numerical Analysis, consistency, asymptotic normality, linearization, robustness, Factor analysis and principal components; correspondence analysis, robust estimator for dispersion, Principal component, Robustness and adaptive procedures (parametric inference), Statistics, Probability and Uncertainty, robust estimators for dispersion, principal components
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 37 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |