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General framework for the rotation of units in repeated survey sampling

机译:重复调查抽样中单位轮换的一般框架

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摘要

Coordination of probabilistic samples is a challenging theoretical problem faced by statistical institutes. One of their aims is to obtain good estimates for each wave while spreading the response burden across the entire population. There is a collection of existing solutions that try to attend to these needs. These solutions, which were developed independently, are integrated in a general framework and their corresponding longitudinal designs are computed. The properties of these longitudinal designs are discussed. It is also noted that there is an antagonism between a good rotation and control over the cross-sectional sampling design. A compromise needs to be reached between the quality of the sample coordination, which appears to be optimal for a systematic longitudinal sampling design, and the freedom of choice of the cross-sectional design. In order to reach such a compromise, an algorithm that uses a new method of longitudinal sampling is proposed.
机译:概率样本的协调是统计机构面临的具有挑战性的理论问题。他们的目标之一是为每个波浪获得良好的估计,同时将响应负担分散到整个人群中。现有的解决方案集合尝试满足这些需求。这些独立开发的解决方案集成在一个通用框架中,并计算了它们相应的纵向设计。这些纵向设计的属性进行了讨论。还应注意,良好的旋转和对横截面采样设计的控制之间存在对抗。需要在似乎对系统纵向采样设计而言最佳的样本协调质量与选择横截面设计的自由度之间达成折衷。为了达成这种妥协,提出了一种使用纵向采样新方法的算法。

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