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Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Populasjonsestimering med gjenfangstmetoden×Stratified Sampling×
FagfeltSurveymetodikkSurveymetodikk
FamilieRegression modelProcess / pipeline
Opprinnelsesår19781977
OpphavspersonOtis, Burnham, White & AndersonWilliam G. Cochran
TypeProbabilistic population size estimatorProbability-based survey sampling design
Opprinnelig kildeOtis, 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 ↗Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
AliasMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden YakalaProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Relaterte22
SammendragCapture-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.Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.
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ScholarGateSammenlign metoder: Capture-Recapture · Stratified Sampling. Hentet 2026-06-17 fra https://scholargate.app/no/compare