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搜索结果: 1-8 共查到RESPONDENT-DRIVEN SAMPLING相关记录8条 . 查询时间(0.093 秒)
Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling
WEB-BASED NETWORK SAMPLING: EFFICIENCY AND EFFICACY OF RESPONDENT-DRIVEN SAMPLING FOR ONLINE RESEARCH.
This paper, which is the first large scale application of Respondent-Driven Sampling (RDS) to non-hidden populations, tests three factors related to RDS estimation against institutional data using...
Respondent-driven sampling (RDS) is a network-based method for sampling hidden and hard-to-reach populations that has been shown to produce asymptotically unbiased population estimates when its ass...
Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially groups most at-risk for HIV/AIDS. Data are collected through a peer-referral proc...
Respondent-Driven Sampling (RDS) is an approach to sampling design and inference in hard-to-reach human populations. Typically, a sampling frame is not available, and population members are difficult ...
Current methods for population mean estimation from data collected by Respondent Driven Sampling (RDS) are based on the Horvitz-Thompson estimator together with a set of assumptions on the sampling mo...
Researchers in many scientific fields make inferences from individuals to larger groups. For many groups however,there is no list of members from which to take a random sample. Respondent-driven sampl...

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