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| 가중 체계 표본 추출× | 가중 표본 추출× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | Mid-20th century (1950s-1970s) | 1940s–1952 (formalized in large-scale government survey work and the Horvitz-Thompson estimator) |
| 창시자≠ | William G. Cochran (systematic and weighted probability sampling theory) | Morris H. Hansen, William N. Hurwitz; D. G. Horvitz and D. J. Thompson (theoretical framework) |
| 유형≠ | Probability sampling technique | Probability sampling design |
| 원전≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 별칭≠ | systematic sampling with weights, probability-weighted systematic sampling, systematic PPS sampling | probability proportional to size sampling, PPS sampling, unequal probability sampling, importance sampling |
| 관련≠ | 5 | 6 |
| 요약≠ | 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. | Weighted sampling is a probability-based design in which units are selected with unequal probabilities proportional to a known auxiliary measure of size or importance. Sampling weights — the inverse of inclusion probabilities — are applied during analysis so that each sampled unit correctly represents the population units it stands for. The approach underpins large-scale government, health, and social surveys where simple random sampling would be inefficient. |
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