Consistency for the tree bootstrap in respondent-driven sampling
成果类型：
Article
署名作者：
Green, A. K. B.; McCormick, T. H.; Raftery, A. E.
署名单位：
University of Washington; University of Washington Seattle
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/asz067
发表日期：
2020
页码：
497504
关键词：
摘要：
Respondent-driven sampling is an approach for estimating features of populations that are difficult to access using standard survey tools, e.g., the fraction of injection drug users who are HIV positive. Baraff et al. (2016) introduced an approach to estimating uncertainty in population proportion estimates from respondent-driven sampling using the tree bootstrap method. In this paper we establish the consistency of this tree bootstrap approach in the case of m-trees.
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