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Frame Correction Modelling with Applications to the German Register-Assisted Census 2011

机译:帧校正建模及其在2011年德国注册辅助人口普查中的应用

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摘要

Frame corrections have been studied in census applications for a long time. One very promising method is dual system estimation, which is based on capture-recapture models. These methods have been applied recently in the USA, England, Israel and Switzerland. In order to gain information on subgroups of the population, structure preserving estimators can be applied [i.e. structure preserving estimation (SPREE) and generalized SPREE]. The present paper extends the SPREE approach with an alternative distance function, the chi-square. The new method has shown improved estimates in our application with very small domains. A comparative study based on a large-scale Monte Carlo simulation elaborates on advantages and disadvantages of the estimators in the context of the German register-assisted Census 2011.
机译:帧校正已在普查应用中研究了很长时间。一种非常有前途的方法是基于捕获-捕获模型的双重系统估计。这些方法最近已在美国,英国,以色列和瑞士使用。为了获得有关人口子组的信息,可以应用结构保留估计量[即结构保留估计(SPREE)和广义SPREE]。本文扩展了SPREE方法,提供了另一种距离函数,即卡方。在我们的应用程序中,新方法在很小的范围内显示出改进的估计。在大规模的蒙特卡洛模拟的基础上进行的一项比较研究详细说明了在2011年德国户口辅助人口普查背景下估算器的优缺点。

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