Rekodi ya ushahidi wa mbinu

Adaptive Sampling

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.

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Rekodi ya chanzo

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Adaptive Cluster Sampling

Rekodi ya mbinu ya kiajenda · process-pipeline / survey-methodology

Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. · DOI 10.1080/01621459.1990.10474975

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Used in the same domainCapture-Recapturemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRespondent-Driven Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStratified Samplingmachine-suggested · Relational suggestion, not evidence.