Process / pipelineSampling design
自适应整群抽样
自适应整群抽样（Adaptive Cluster Sampling, ACS）是Steven K. Thompson于1990年提出的一种基于概率的调查设计，用于估计稀有、聚集型总体的丰度或总量。该设计从初始随机样本开始，当一个抽样单元满足预定义条件（例如，超过计数阈值）时，自适应地增加相邻单元，从而将抽样工作精确地集中在感兴趣的总体出现的地方。它最适用于研究地理或社会聚集的稀有现象的生态学家、流行病学家和社会科学家。
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来源
- Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI: 10.1080/01621459.1990.10474975 ↗
如何引用本页
ScholarGate. (2026, June 2). Adaptive Cluster Sampling. ScholarGate. https://scholargate.app/zh/survey-methodology/adaptive-sampling
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