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dc.contributor.authorLongford, Nicholas T.
dc.date.accessioned2007-12-07T10:58:03Z
dc.date.available2007-12-07T10:58:03Z
dc.date.issued1996
dc.identifier.citationLongford, Nicholas T. "Small-area estimation using adjustment by covariates". Qüestiió. 1996, vol. 20, núm. 2
dc.identifier.issn0210-8054 (versió paper)
dc.identifier.urihttp://hdl.handle.net/2099/4066
dc.description.abstractLinear regression models with random effects are applied to estimating the population means of indirectly measured variables in small areas. The proposed method, a hybrid with design- and model-based elements, takes account of the area-level variation and of the uncertainty about the fitted regression model and the area-level population means of the covariates. The method is illustrated on data from the U.S. Department of Labor Literacy Surveys and is informally validated on two states, Mississippi and Oregon, for which statewide surveys have been conducted.
dc.format.extent26 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.lcshStatistics
dc.subject.otherEffective sample size
dc.subject.otherLinear regression
dc.subject.otherRandom effect
dc.subject.otherSampling variation
dc.titleSmall-area estimation using adjustment by covariates
dc.typeArticle
dc.subject.lemacMostreig (Estadística)
dc.subject.amsClassificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
dc.rights.accessOpen Access
local.ordre4
local.personalitzacitaciotrue


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