文章基本信息

标题：Multinomial logistic estimation in dual frame surveys
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作者：David Molina ; Maria del Mar Rueda ; Antonio Arcos 等
期刊名称：SORT-Statistics and Operations Research Transactions
印刷版ISSN：2013-8830
出版年度：2015
卷号：39
期号：2
页码：309-336
语种：English
出版社：SORT- Statistics and Operations Research Transactions
摘要：We consider estimation techniques from dual frame surveys in the case of estimation of proportions when the variable of interest has multinomial outcomes. We propose to describe the joint distribution of the class indicators by a multinomial logistic model. Logistic generalized regression estimators and model calibration estimators are introduced for class frequencies in a population. Theoretical asymptotic properties of the proposed estimators are shown and discussed. Monte Carlo experiments are also carried out to compare the efficiency of the proposed procedures for finite size samples and in the presence of different sets of auxiliary variables. The simulation studies indicate that the multinomial logistic formulation yields better results than the classical estimators that implicitly assume individual linear models for the variables. The proposed methods are also applied in an attitude survey.
关键词：Finite population, survey sampling, auxiliary information, model assisted inference, calibration