Nonparametric identification for respondent-driven sampling

被引：6
|
作者：
Aronow, Peter M. [1 ,2 ]
Crawford, Forrest W. [2 ]
机构：
[1] Yale Univ, Dept Polit Sci, New Haven, CT 06520 USA
[2] Yale Univ, Sch Publ Hlth, Dept Biostat, New Haven, CT 06520 USA
来源：
STATISTICS & PROBABILITY LETTERS | 2015年 / 106卷
关键词：
Horvitz-Thompson estimator; Network degree; Respondent-driven sampling;
D O I：
10.1016/j.spl.2015.07.003
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We detail nonparametric identification results for respondent-driven sampling when sampling probabilities are assumed to be functions of network degree known to scale. We show that the conditions for consistency of the Volz-Heckathorn estimator are weaker than previously assumed. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：100 / 102
页数：3
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