THE ROLE OF SAMPLING WEIGHTS WHEN MODELING SURVEY DATA
THE ROLE OF SAMPLING WEIGHTS WHEN MODELING SURVEY DATA
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DOI：
10.2307/1403631
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发表时间：
1993-08-01
影响因子：
2
通讯作者：
PFEFFERMANN, D
中科院分区：
文献类型：
--
作者：
PFEFFERMANN, D
本文的目的是提供一个关键的调查文献，针对回答两个主要问题。i）使用抽样权重对模型参数进行分析推断是否合理，如果是，在什么情况下？（二）能否制定准则，说明如何将权重纳入分析？这项研究的一般结论是，权重可以用来测试和保护，防止信息抽样设计和对人口中的模型举行的误指定。在推理过程中的权重被认为是六种方法。前四种方法旨在为模型参数的相应描述性总体量产生设计一致估计量。其他两种方法试图将权重纳入模型。
The purpose of this paper is to provide a critical survey of the literature, directed at answering two main questions. i) Can the use of the sampling weights be justified for analytic inference about model parameters and if so, under what circumstances? ii) Can guidelines be developed for how to incorporate the weights in the analysis? The general conclusion of this study is that the weights can be used to test and protect against informative sampling designs and against misspecification of the model holding in the population. Six approaches for incorporating the weights in the inference process are considered. The first four approaches are intended to yield design consistent estimators for corresponding descriptive population quantities of the model parameters. The other two approaches attempt to incorporate the weights into the model.