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Process / pipelineCausal designs

Capture-Recapture for Hidden Crime Populations

Capture-recapture, known in criminology and public health as multiple systems estimation, infers the size of a hidden population — undocumented homicide victims, trafficking victims, problem drug users, undetected offenders — that no single source counts completely. By examining how much two or more incomplete lists overlap, it estimates how many cases were missed by all of them: the 'dark figure' of crime. Borrowed from wildlife ecology, the method was synthesized for human populations by the International Working Group in 1995 and brought to criminal-justice policy by Bird and King.

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Vyanzo

  1. Bird, S. M., & King, R. (2018). Multiple systems estimation (or capture-recapture estimation) to inform public policy. Annual Review of Statistics and Its Application, 5, 95–118. DOI: 10.1146/annurev-statistics-031017-100641
  2. International Working Group for Disease Monitoring and Forecasting (1995). Capture-recapture and multiple-record systems estimation I: History and theoretical development. American Journal of Epidemiology, 142(10), 1047–1058. DOI: 10.1093/oxfordjournals.aje.a117558

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 22). Capture-Recapture Estimation of Hidden and Dark-Figure Crime Populations. ScholarGate. https://scholargate.app/sw/criminology/capture-recapture-crime

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ScholarGateCapture-Recapture for Hidden Crime Populations (Capture-Recapture Estimation of Hidden and Dark-Figure Crime Populations). Imepatikana 2026-06-24 kutoka https://scholargate.app/sw/criminology/capture-recapture-crime · Seti ya data: https://doi.org/10.5281/zenodo.20539026