方法证据记录
Adaptive Cluster Sampling
Adaptive cluster sampling (ACS) is a probability-based design in which an initial random sample of units triggers the inclusion of neighboring units whenever a predefined condition — typically a threshold count of a rare attribute — is satisfied. Developed by Steven K. Thompson in 1990, ACS is especially powerful for estimating the abundance or distribution of rare, spatially clustered populations such as endangered species, disease hotspots, or hard-to-reach social groups.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Adaptive Cluster Sampling
分类方法记录 · process-pipeline / survey-methodology
- Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. · DOI 10.2307/2289601
- Thompson, S. K., & Seber, G. A. F. (1996). Adaptive Sampling. Wiley. · ISBN 978-0471558712
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