A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics
A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics
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DOI：
10.1080/00031305.2022.2143898
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发表时间：
2022-03
期刊：
影响因子：
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通讯作者：
Daniel Vedensky;Paul A. Parker;S. Holan
中科院分区：
文献类型：
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作者：
Daniel Vedensky;Paul A. Parker;S. Holan
空间和生态统计学领域的一个不断发展的问题是优先抽样问题，其中由于样本数据位置和感兴趣的响应之间的关系，可能存在偏差。这一研究领域与调查方法中长期存在的信息抽样问题有着惊人的相似之处，尽管有一些重要的区别。为了促进这两个问题领域内部和之间的协作努力，我们对这两个问题陈述进行了比较和对比。具体地说，我们回顾了许多可用于解决这些问题的解决方案，并指出了建模技术中的重要差异。此外，我们构建了一系列模拟研究来检验一些可用于优先抽样的方法，并对重金属生物监测数据进行了比较分析。
Abstract An evolving problem in the field of spatial and ecological statistics is that of preferential sampling, where biases may be present due to a relationship between sample data locations and a response of interest. This field of research bears a striking resemblance to the longstanding problem of informative sampling within survey methodology, although with some important distinctions. With the goal of promoting collaborative effort within and between these two problem domains, we make comparisons and contrasts between the two problem statements. Specifically, we review many of the solutions available to address each of these problems, noting the important differences in modeling techniques. Additionally, we construct a series of simulation studies to examine some of the methods available for preferential sampling, as well as a comparison analyzing heavy metal biomonitoring data.