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प्रतिभागी-प्रेरित नमूनाकरण (Respondent-Driven Sampling)×कैप्चर-रिकैप्चर जनसंख्या अनुमान×
क्षेत्रसर्वेक्षण पद्धतिसर्वेक्षण पद्धति
परिवारProcess / pipelineRegression model
उद्भव वर्ष19971978
प्रवर्तकDouglas HeckathornOtis, Burnham, White & Anderson
प्रकारProbabilistic chain-referral sampling designProbabilistic population size estimator
मौलिक स्रोतHeckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗Otis, D. L., Burnham, K. P., White, G. C., & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs, 62, 3–135. link ↗
उपनामChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü ÖrneklemeMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala
संबंधित32
सारांशRespondent-Driven Sampling (RDS) is a probabilistic chain-referral method designed to reach hidden or hard-to-reach populations that lack a sampling frame. Introduced by sociologist Douglas Heckathorn in 1997, RDS combines snowball recruitment with mathematical weighting based on participants' personal network sizes, allowing researchers to generate population-level estimates even when no complete membership list exists.Capture-recapture (also known as mark-recapture) is a statistical method for estimating the size of an unknown population by sampling it twice and tracking which individuals appear in both samples. Formally systematized for closed animal populations by Otis, Burnham, White, and Anderson in their landmark 1978 Wildlife Monographs paper, the method extends naturally to human populations, epidemiology, and incomplete administrative records.
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ScholarGateविधियों की तुलना करें: Respondent-Driven Sampling · Capture-Recapture. 2026-06-17 को यहाँ से प्राप्त https://scholargate.app/hi/compare