Gini s ideas: new perspectives for modern multivariate statistical analysis

Corrado Gini (1884-1964) may be considered the greatest Italian statistician. We believe that his important contributions to statistics, however mainly limited to the univariate context, may be profitably employed in modern multivariate statistical methods, aimed at overcoming the curse of dimension...

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Main Authors: Angela Montanari, Paola Monari
Format: Article
Language:English
Published: University of Bologna 2013-05-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/3533
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author Angela Montanari
Paola Monari
author_facet Angela Montanari
Paola Monari
author_sort Angela Montanari
collection DOAJ
description Corrado Gini (1884-1964) may be considered the greatest Italian statistician. We believe that his important contributions to statistics, however mainly limited to the univariate context, may be profitably employed in modern multivariate statistical methods, aimed at overcoming the curse of dimensionality by decomposing multivariate problems into a series of suitably posed univariate ones.In this paper we critically summarize Gini’s proposals and consider their impact on multivariate statistical methods, both reviewing already well established applications and suggesting new perspectives.Particular attention will be devoted to classification and regression trees, multiple linear regression, linear dimension reduction methods and transvariation based discrimination.
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spelling doaj.art-c147778d332541f8ac047e3c2743abde2022-12-21T19:02:18ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-01683/423925410.6092/issn.1973-2201/35333279Gini s ideas: new perspectives for modern multivariate statistical analysisAngela Montanari0Paola Monari1Department of Statistical Sciences - University of BolognaDepartment of Statistical Sciences - University of BolognaCorrado Gini (1884-1964) may be considered the greatest Italian statistician. We believe that his important contributions to statistics, however mainly limited to the univariate context, may be profitably employed in modern multivariate statistical methods, aimed at overcoming the curse of dimensionality by decomposing multivariate problems into a series of suitably posed univariate ones.In this paper we critically summarize Gini’s proposals and consider their impact on multivariate statistical methods, both reviewing already well established applications and suggesting new perspectives.Particular attention will be devoted to classification and regression trees, multiple linear regression, linear dimension reduction methods and transvariation based discrimination.http://rivista-statistica.unibo.it/article/view/3533
spellingShingle Angela Montanari
Paola Monari
Gini s ideas: new perspectives for modern multivariate statistical analysis
Statistica
title Gini s ideas: new perspectives for modern multivariate statistical analysis
title_full Gini s ideas: new perspectives for modern multivariate statistical analysis
title_fullStr Gini s ideas: new perspectives for modern multivariate statistical analysis
title_full_unstemmed Gini s ideas: new perspectives for modern multivariate statistical analysis
title_short Gini s ideas: new perspectives for modern multivariate statistical analysis
title_sort gini s ideas new perspectives for modern multivariate statistical analysis
url http://rivista-statistica.unibo.it/article/view/3533
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