SPATIAL MODELS IN SMALL AREA ESTIMATION IN THE CONTEXT OF OFFICIAL STATISTICS

Petrucci, Alessandra; Pratesi, Monica

Small area estimation (SAE) plays an important role in survey sampling due to growing demands for reliable small area statistics from both public and private sectors. This paper reviews some of the current techniques of small area estimation combined with spatial models available in the literature. Illustrative examples or applications are likewise presented in the context of Official Statistics where data sources, particularly surveys and censuses or surveys and administrative sources, has been combined using statistical models based on small area and domain estimation.

trova@unifi

Titolo:	SPATIAL MODELS IN SMALL AREA ESTIMATION IN THE CONTEXT OF OFFICIAL STATISTICS
Autori di Ateneo:	PETRUCCI, ALESSANDRA PRATESI, MONICA
Autori:	PETRUCCI, ALESSANDRA; PRATESI, MONICA
Anno di registrazione:	2012
Rivista:	STATISTICA APPLICATA
Volume:	24
Pagina iniziale:	9
Pagina finale:	27
Abstract:	Small area estimation (SAE) plays an important role in survey sampling due to growing demands for reliable small area statistics from both public and private sectors. This paper reviews some of the current techniques of small area estimation combined with spatial models available in the literature. Illustrative examples or applications are likewise presented in the context of Official Statistics where data sources, particularly surveys and censuses or surveys and administrative sources, has been combined using statistical models based on small area and domain estimation.
Handle:	http://hdl.handle.net/2158/904934
Appare nelle tipologie:	1a - Articolo su rivista

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