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Corrado Gini, a pioneer in balanced sampling and inequality theory

Auteur(s)
Langel, Matti 
Institut de statistique 
Tillé, Yves 
Institut de statistique 
Date de parution
2011-3-14
In
Metron
Vol.
1
No
69
De la page
45
A la page
65
Mots-clés
  • balanced sampling

  • Gini

  • inequality

  • linearization

  • purposive selection

  • representativeness

Résumé
This paper attempts to make the link between two of Corrado Gini’s contributions to statistics: the famous inequality measure that bears his name and his work in the early days of balanced sampling. Some important notions of the history of sampling such as representativeness, randomness, and purposive selection are clarified before balanced sampling is introduced. The Gini index is described, as well as its estimation and variance estimation in the sampling framework. Finally, theoretical grounds and some simulations on real data show how some well used auxiliary information and balanced sampling can enhance the accuracy of the estimation of the Gini index.
URI
https://libra.unine.ch/handle/123456789/11429
DOI
10.1007/BF03263549
Autre version
https://link.springer.com/article/10.1007/BF03263549
Type de publication
Resource Types::text::journal::journal article
Dossier(s) à télécharger
 main article: 2019-09-11_951_6371.pdf (188.35 KB)
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