Consistency for the tree bootstrap in respondent-driven sampling

被引：1

作者：

Green, A. K. B. ^{[1
]}

McCormick, T. H. ^{[2
]}

Raftery, A. E. ^{[2
]}

机构：

[1] Scottish Govt, Atlantic Quay, 150 Broomielaw, Glasgow G2 8LU, Lanark, Scotland

[2] Univ Washington, Dept Stat, Seattle, WA 98195 USA

来源：

BIOMETRIKA | 2020年 / 107卷 / 02期

关键词：

Block bootstrap; Consistency; Respondent-driven sampling; Tree bootstrap;

D O I：

10.1093/biomet/asz067

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

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.

引用

页码：497 / 504

页数：8

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