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dc.contributor.authorDa Silva, Damiao N
dc.contributor.authorZhang, Li Chun
dc.date.accessioned2020-03-26T15:11:19Z
dc.date.available2020-03-26T15:11:19Z
dc.date.created2020-01-14T10:51:44Z
dc.date.issued2019-11-21
dc.identifier.citationScandinavian Journal of Statistics. 2019, 1-17.en_US
dc.identifier.issn0303-6898
dc.identifier.urihttps://hdl.handle.net/11250/2648967
dc.description.abstractIn practical survey sampling, missing data are unavoidable due to nonresponse, rejected observations by editing, disclosure control, or outlier suppression. We propose a calibrated imputation approach so that valid point and variance estimates of the population (or domain) totals can be computed by the secondary users using simple complete‐sample formulae. This is especially helpful for variance estimation, which generally require additional information and tools that are unavailable to the secondary users. Our approach is natural for continuous variables, where the estimation may be either based on reweighting or imputation, including possibly their outlier‐robust extensions. We also propose a multivariate procedure to accommodate the estimation of the covariance matrix between estimated population totals, which facilitates variance estimation of the ratios or differences among the estimated totals. We illustrate the proposed approach using simulation data in supplementary materials that are available online.en_US
dc.description.sponsorshipBrazilian Research Council, 211518/2013‐1en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectAnalysis of incomplete dataen_US
dc.subjecttem nonresonseen_US
dc.subjectNonresponseen_US
dc.subjectVariance estimationen_US
dc.titleA calibrated imputation method for secondary data analysis of survey dataen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderWileyen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412en_US
dc.source.pagenumber1-17en_US
dc.source.journalScandinavian Journal of Statisticsen_US
dc.identifier.doi10.1111/sjos.12435
dc.identifier.cristin1772150
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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