A variance estimator for the mean of a systematic sample in two dimensions is proposed and analyzed. The estimation strategy relies on a super-population model which follows a spatial auto-regressive structure and allows for the presence of covariates. The small sample properties of the proposed procedure are analyzed by simulations: the model-based estimation strategy shows an excellent performance in a variety of situations which are common in real situations.

Model-based variance estimation in two-dimensional systematic sampling / Espa, Giuseppe; Giuliani, Diego; Santi, Flavio; Taufer, Emanuele. - In: METRON. - ISSN 2281-695X. - ELETTRONICO. - 75:3(2017), pp. 265-275. [10.1007/s40300-017-0125-z]

Model-based variance estimation in two-dimensional systematic sampling

Espa, Giuseppe;Giuliani, Diego;Santi, Flavio;Taufer, Emanuele
2017-01-01

Abstract

A variance estimator for the mean of a systematic sample in two dimensions is proposed and analyzed. The estimation strategy relies on a super-population model which follows a spatial auto-regressive structure and allows for the presence of covariates. The small sample properties of the proposed procedure are analyzed by simulations: the model-based estimation strategy shows an excellent performance in a variety of situations which are common in real situations.
2017
3
Espa, Giuseppe; Giuliani, Diego; Santi, Flavio; Taufer, Emanuele
Model-based variance estimation in two-dimensional systematic sampling / Espa, Giuseppe; Giuliani, Diego; Santi, Flavio; Taufer, Emanuele. - In: METRON. - ISSN 2281-695X. - ELETTRONICO. - 75:3(2017), pp. 265-275. [10.1007/s40300-017-0125-z]
File in questo prodotto:
File Dimensione Formato  
metron_2017.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 422.91 kB
Formato Adobe PDF
422.91 kB Adobe PDF   Visualizza/Apri

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/11572/186091
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact