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dc.contributor.authorRueda García, María Del Mar 
dc.contributor.authorArcos Cebrián, Antonio 
dc.contributor.authorMolina, David
dc.contributor.authorTrujillo, Manuel
dc.date.accessioned2021-05-11T06:51:15Z
dc.date.available2021-05-11T06:51:15Z
dc.date.issued2018-07
dc.identifier.citationRueda, M. & Arcos, A. & Molina, D. & Trujillo Carmona, Manuel. (2018). Model-assisted and model-calibrated estimation for class frequencies with ordinal outcomes. Revstat Statistical Journal. 16. 323-348.es_ES
dc.identifier.issn1645-6726
dc.identifier.urihttp://hdl.handle.net/10481/68443
dc.description.abstractThis paper considers new techniques for complex surveys in the case of estimation of proportions when the variable of interest has ordinal outcomes. Ordinal modelassisted and ordinal model-calibrated estimators are introduced for class frequencies in a population, taking two different approaches. Theoretical properties and numerical methods are investigated. Simulation studies using data from a real macro survey are considered to evaluate the performance of the proposed estimators. The empirical coverage and the length of confidence intervals are computed using several techniques in variance estimation. We also use data from an opinion survey to show the behavior of the proposed estimators in real applicationses_ES
dc.language.isoenges_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectcomplex surveyses_ES
dc.subjectmodel calibrationes_ES
dc.subjectordinal dataes_ES
dc.subjectweighted least squareses_ES
dc.subjectweighted maximum likelihoodes_ES
dc.titleModel-Assisted and Model-Calibrated Estimation for class frequencies with ordinal outcomeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España