Inferential Issues in Model-Based Small Area Estimation: Some New Developments
Inferential Issues in Model-Based Small Area Estimation: Some New Developments
复制标题
基于模型的小区域估计中的推理问题：一些新进展
DOI：
10.21307/stattrans-2015-029
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
J. N. K. Rao
中科院分区：
文献类型：
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作者：
J. N. K. Rao
摘要近10年来，小面积估计得到了迅速发展。早期的工作在作者的书（Rao 2003）中有介绍。本文的主要目的是突出一些新的发展，基于模型的SAE，因为作者的书出版。新理论的很大一部分解决了与基于模型的方法相关的实际问题，我们提出了一些区域级和单元级模型的方法。本文还简要地介绍了基于隐式模型的面积均值或总量综合估计的一些新工作。
Abstract Small area estimation (SAE) has seen a rapid growth over the past 10 years or so. Earlier work is covered in the author’s book (Rao 2003). The main purpose of this paper is to highlight some new developments in model-based SAE since the publication of the author’s book. A large part of the new theory addressed practical issues associated with the model-based approach, and we present some of those methods for area level and unit level models. We also briefly mention some new work on synthetic estimation of area means or totals based on implicit models.