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Adaptive Simple Random Sampling

Adaptive simple random sampling (ASRS) begins with a conventional simple random sample and then expands the sample in regions where the variable of interest exceeds a pre-specified threshold. Units neighboring a qualifying observation are added to the sample, allowing the design to concentrate effort where the population is dense or rare, while retaining unbiased estimation through the Horvitz-Thompson or Hansen-Hurwitz estimators. The approach was systematized by Steven K. Thompson in the early 1990s as part of the broader adaptive sampling framework.

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Taksonoomiline meetodikirje · process-pipeline / survey-methodology

Thompson, S. K. (1992). Sampling. John Wiley & Sons. · ISBN 978-0471548850
Thompson, S. K., & Seber, G. A. F. (1996). Adaptive Sampling. John Wiley & Sons. · ISBN 978-0471558712

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Taxonomic bucketAdaptive Cluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultistage Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSimple random samplingmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSystematic Samplingmachine-suggested · Relational suggestion, not evidence.