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| Capture-Recapture Populationsestimering× | Vægtning og kalibrering af surveys× | |
|---|---|---|
| Fagområde | Surveymetodologi | Surveymetodologi |
| Familie≠ | Regression model | Process / pipeline |
| Oprindelsesår≠ | 1978 | 2010 |
| Ophavsperson≠ | Otis, Burnham, White & Anderson | Sharon Lohr |
| Type≠ | Probabilistic population size estimator | Estimation adjustment procedure |
| Oprindelig kilde≠ | 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 ↗ | Lohr, S. L. (2010). Sampling: Design and Analysis (2nd ed.). Brooks/Cole. ISBN: 978-0-495-10527-5 |
| Aliasser | Mark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala | Survey Calibration, Post-Stratification Weighting, Raking Adjustment, Ağırlıklandırma (Anket) |
| Relaterede≠ | 2 | 3 |
| Resumé≠ | 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. | Survey weighting is a statistical procedure that assigns a numeric weight to each sampled unit so that the weighted sample reproduces known population totals. Rooted in classical sampling theory and systematically synthesized by Sharon Lohr (2010), the approach corrects for unequal selection probabilities, unit nonresponse, and coverage gaps, producing estimates that are more representative of the target population than raw sample means or totals would be. |
| ScholarGateDatasæt ↗ |
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