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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2094

Title: Design-based diagnostics for k-NN estimators of forest resources
Authors: Baffetta, Federica
Corona, Piermaria
Fattorini, Lorenzo
Keywords: k-nearest neighbours method
Horvitz– Thompson estimator
Forest
Issue Date: 2011
Publisher: NRC Research Press
Citation: Baffetta, F., Corona, P., Fattorini, L. 2011. Design-based diagnostics for k-NN estimators of forest resources. "Canadian Journal of Forest Research" 41: 59–72.
Abstract: The k-nearest neighbours (k-NN) method constitutes a possible approach to improve the precision of the Horvitz– Thompson estimator of a single interest variable using auxiliary information at the estimation stage. Improvements are likely to occur when the neighbouring structure in the space of auxiliary variables is similar to the neighbouring structure in the space of the survey variables. Populations suitable for k-NN can be identified via the scores of the first principal component comput
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Description: L'articolo è disponibile sul sito dell'editore www.nrcresearchpress.com
DOI: 10.1139/X10-157
URI: http://hdl.handle.net/2067/2094
ISSN: 0045-5067
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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