ScholarGate
助手
Process / pipelineSampling

自适应简单随机抽样

自适应简单随机抽样(ASRS)始于常规的简单随机抽样,然后在变量值超过预定阈值的区域中扩大样本。将邻近合格观测值的单元添加到样本中,从而使设计能够集中精力于人口密集或稀有区域,同时通过 Horvitz-Thompson 或 Hansen-Hurwitz 估计量保持无偏估计。该方法由 Steven K. Thompson 在 20 世纪 90 年代初作为更广泛的自适应抽样框架的一部分系统化。

用 PaperMind 寻找选题即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

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

如何引用本页

ScholarGate. (2026, June 3). Adaptive Simple Random Sampling. ScholarGate. https://scholargate.app/zh/survey-methodology/adaptive-simple-random-sampling

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateAdaptive Simple Random Sampling (Adaptive Simple Random Sampling). 于 2026-06-15 检索自 https://scholargate.app/zh/survey-methodology/adaptive-simple-random-sampling · 数据集: https://doi.org/10.5281/zenodo.20539026