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  • 标题:SMALL AREA ESTIMATION IN THE GERMAN CENSUS 2011
  • 本地全文:下载
  • 作者:Ralf Münnich ; Jan Pablo Burgard ; Siegfried Gabler
  • 期刊名称:Statistics in Transition
  • 印刷版ISSN:1234-7655
  • 电子版ISSN:2450-0291
  • 出版年度:2016
  • 卷号:17
  • 期号:1
  • 页码:25-40
  • DOI:10.21307/stattrans-2016-004
  • 出版社:Exeley Inc.
  • 摘要:In 2011, Germany conducted the first census after the reunification. In contrast to a classical census, a register-assisted census was implemented using population register data and an additional sample. This paper provides an overview of how the sampling design recommendations were set up in order to fulfil legal requirements and to guarantee an optimal but still flexible source of information. The aim was to develop a design that fosters an accurate estimation of the main objective of the census, the total population counts. Further, the design should also adequately support the application of small area estimation methods. Some empirical results are given to provide an assessment of selected methods. The research was conducted within the German Census Sampling and Estimation research project, financially supported by the German Federal Statistical Office.
  • 关键词:register-assisted census;small area estimation;design optimisation;relative root mean squared error
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