文章基本信息

标题：Model-assisted and model-calibrated estimation for class frequencies with ordinal outcomes
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作者：Maria del Mar Rueda ; Antonio Arcos ; David Molina 等
期刊名称：RevStat : Statistical Journal
印刷版ISSN：1645-6726
出版年度：2018
卷号：16
期号：3
页码：323-348
出版社：Instituto Nacional de Estatística
摘要：This paper considers new techniques for complex surveys in the case of estimationof proportions when the variable of interest has ordinal outcomes. Ordinal modelassistedand ordinal model-calibrated estimators are introduced for class frequenciesin a population, taking two different approaches. Theoretical properties and numericalmethods are investigated. Simulation studies using data from a real macro survey areconsidered to evaluate the performance of the proposed estimators. The empiricalcoverage and the length of confidence intervals are computed using several techniquesin variance estimation. We also use data from an opinion survey to show the behaviorof the proposed estimators in real applications.
关键词：complex surveys; model calibration; ordinal data; weighted least squares; weighted;maximum likelihood.