This paper focuses on the estimation of the concentration curve of a finite population, when data are collected according to a complex sampling design with different inclusion probabilities. The asymptotic law of the finite population version of the concentration process is first studied. Then, a resampling scheme able to approximate such a law is constructed. Finally, an application to the construction of confidence bands is considered.

On the estimation of the concentration curve under complex sampling designs / Conti, Pier Luigi; Di Iorio, Alberto; Guandalini, Alessio. - ELETTRONICO. - (2015), pp. -----. (Intervento presentato al convegno Statistics and Demography: the Legacy of Corrado Gini tenutosi a Treviso nel 9 settembre - 11 settembre 2015).

On the estimation of the concentration curve under complex sampling designs

CONTI, Pier Luigi;Di Iorio, Alberto;GUANDALINI, ALESSIO
2015

Abstract

This paper focuses on the estimation of the concentration curve of a finite population, when data are collected according to a complex sampling design with different inclusion probabilities. The asymptotic law of the finite population version of the concentration process is first studied. Then, a resampling scheme able to approximate such a law is constructed. Finally, an application to the construction of confidence bands is considered.
2015
Statistics and Demography: the Legacy of Corrado Gini
sampling design, asymptotics; empirical process; concentration process; Lorenz curve
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
On the estimation of the concentration curve under complex sampling designs / Conti, Pier Luigi; Di Iorio, Alberto; Guandalini, Alessio. - ELETTRONICO. - (2015), pp. -----. (Intervento presentato al convegno Statistics and Demography: the Legacy of Corrado Gini tenutosi a Treviso nel 9 settembre - 11 settembre 2015).
File allegati a questo prodotto
File Dimensione Formato  
Conti_estimation_2015.pdf

solo utenti autorizzati

Note: Articolo principale
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 155.76 kB
Formato Adobe PDF
155.76 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/942044
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact