应答驱动抽样的非参数识别
Nonparametric Identification for Respondent-Driven Sampling.
作者信息
Aronow Peter M, Crawford Forrest W
机构信息
Department of Political Science, Yale University ; Department of Biostatistics, Yale School of Public Health.
Department of Biostatistics, Yale School of Public Health.
出版信息
Stat Probab Lett. 2015 Nov 1;106:100-102. doi: 10.1016/j.spl.2015.07.003.
Abstract
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.
摘要
当抽样概率被假定为已知呈比例缩放的网络度的函数时，我们详细阐述了应答驱动抽样的非参数识别结果。我们表明，沃尔兹 - 赫卡索恩估计量一致性的条件比先前假定的要弱。
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