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Small area estimation with spatial similarity

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Research , Preprint 01 Jan 2008 Spain English Publisher:Elsevier BVJournal:Computational Statistics & Data Analysis, volume 54, pages 1,151-1,166 (issn: 0167-9473, Copyright policy )
Authors: Nicholas Longford;

doi: 10.1016/j.csda.2009.09.005 , 10.2139/ssrn.1285451

handle: 10230/863

Small area estimation with spatial similarity

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Spain
Related Organizations
Keywords

multivariate shrinkage, exploiting similarity, composite estimation, Auxiliary information, composite estimation, design-based estimator, exploiting similarity, model-based estimator, multivariate shrinkage, small-area estimation, spatial similarity, spatial similarity, model-based estimator, small-area estimation, auxiliary information, design-based estimator, Statistics, Econometrics and Quantitative Methods, Sampling theory, sample surveys, Computational methods for problems pertaining to statistics, jel: jel:C42, jel: jel:C13, jel: jel:C14, jel: jel:C15, jel: jel:C1, jel: jel:C4

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
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