方法证据记录
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.
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 Simple Random Sampling
分类方法记录 · 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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