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| 重み付き系統抽出× | 多段抽出× | |
|---|---|---|
| 分野 | 調査方法論 | 調査方法論 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | Mid-20th century (1950s-1970s) | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| 提唱者≠ | William G. Cochran (systematic and weighted probability sampling theory) | Leslie Kish; William G. Cochran |
| 種類≠ | Probability sampling technique | Probability sampling design |
| 原典≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 | Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495 |
| 別名≠ | systematic sampling with weights, probability-weighted systematic sampling, systematic PPS sampling | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| 関連 | 5 | 5 |
| 概要≠ | Weighted systematic sampling selects units at equal spacing along a cumulative-weight axis rather than along a simple list index. By ordering the population and accumulating auxiliary size or importance weights before applying a fixed sampling interval, it combines the operational simplicity of systematic sampling with the efficiency gains of probability-proportional-to-size selection — giving larger or more important units a higher probability of inclusion while still visiting every part of the ordered frame. | Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage. |
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