THE STABILISATION OF MODEL PARAMETER ESTIMATES FROM REPEATED SURVEYS WITH RARE OBSERVATIONS

A. H. Welsh; Dan Hedlin; Markus G. Sova

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THE STABILISATION OF MODEL PARAMETER ESTIMATES FROM REPEATED SURVEYS WITH RARE OBSERVATIONS

机译：具有重复观测的重复调查中模型参数估计的稳定

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摘要

In many surveys, the domains of study are small and the samples that carry information on a domain can be very small indeed. If the survey is conducted repeatedly there is often a high degree of overlap in samples over time. We show how to use the richness of information over time to compensate for the paucity of cross-sectional information. We propose a model-based estimator of the population total which makes use of stabilised parameter estimates that combine information from different survey periods that are adjacent in time. The motivating example for this research was the ProdCom survey as implemented in the UK.

机译：在许多调查中，研究领域很小，而在某个领域中携带信息的样本确实很小。如果重复进行调查，则随着时间的推移，样本中经常会出现高度重叠。我们展示了如何利用信息的丰富性来补偿横截面信息的匮乏。我们提出了一个基于模型的总人口估计量，该估计量使用了稳定的参数估计值，该估计值结合了时间上相邻的不同调查时期的信息。这项研究的动机示例是在英国实施的ProdCom调查。

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《Australian & New Zealand journal of statistics》 |2013年第4期|471-491|共21页
作者
A. H. Welsh; Dan Hedlin; Markus G. Sova;
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作者单位

Centre for Mathematics and its Applications, The Australian National University, Canberra ACT 0200, Australia;

Department of Statistics, Stockholm University, SE-106 91, Stockholm, Sweden;

Office for National Statistics, Government Buildings, Cardiff Road, Newport South Wales, NP10 8XG, UK;

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原文格式 PDF
正文语种 eng
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关键词
business survey; combining repeated surveys; conditional ratio model; model-based analysis; ProdCom; small sample sizes;

机译：商业调查;结合重复调查;条件比率模型;基于模型的分析;ProdCom;小样本;

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THE STABILISATION OF MODEL PARAMETER ESTIMATES FROM REPEATED SURVEYS WITH RARE OBSERVATIONS

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