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कैप्चर-रिकैप्चर जनसंख्या अनुमान×प्रतिभागी-प्रेरित नमूनाकरण (Respondent-Driven Sampling)×
क्षेत्रसर्वेक्षण पद्धतिसर्वेक्षण पद्धति
परिवारRegression modelProcess / pipeline
उद्भव वर्ष19781997
प्रवर्तकOtis, Burnham, White & AndersonDouglas Heckathorn
प्रकारProbabilistic population size estimatorProbabilistic chain-referral sampling design
मौलिक स्रोतOtis, 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 ↗Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗
उपनामMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden YakalaChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
संबंधित23
सारांशCapture-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.Respondent-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.
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ScholarGateविधियों की तुलना करें: Capture-Recapture · Respondent-Driven Sampling. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare