ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

自适应整群抽样×捕获-再捕获种群估计×
领域调查方法论调查方法论
方法族Process / pipelineRegression model
起源年份19901978
提出者Steven ThompsonOtis, Burnham, White & Anderson
类型Probability-based adaptive designProbabilistic population size estimator
开创性文献Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI ↗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 ↗
别名Adaptive Cluster Sampling, Sequential Adaptive Sampling, Network Sampling, Adaptif Küme ÖrneklemesiMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala
相关32
摘要Adaptive Cluster Sampling (ACS) is a probability-based survey design introduced by Steven K. Thompson in 1990 for estimating the abundance or total of rare, clustered populations. Starting from an initial random sample, the design adaptively adds neighboring units whenever a sampled unit satisfies a predefined condition—such as exceeding a count threshold—thereby concentrating sampling effort exactly where the population of interest occurs. It is most appropriate for ecologists, epidemiologists, and social scientists studying geographically or socially clustered rare phenomena.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.
ScholarGate数据集
  1. v1
  2. 1 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Adaptive Sampling · Capture-Recapture. 于 2026-06-17 检索自 https://scholargate.app/zh/compare