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A Look into the Problem of Preferential Sampling from the Lens of Survey Statistics

Authors :
Vedensky, Daniel
Parker, Paul A.
Holan, Scott H.
Publication Year :
2022
Publisher :
arXiv, 2022.

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.<br />Comment: 27 pages, 6 figures

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....f7a452140c8269238da56bcf6fa1a64d
Full Text :
https://doi.org/10.48550/arxiv.2203.05507