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Nonparametric Identification for Respondent-Driven Sampling
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.
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| 出版年: | Stat Probab Lett |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4552244/ https://ncbi.nlm.nih.gov/pubmed/26327739 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spl.2015.07.003 |
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