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| Ranked Set Sampling× | Doppelte Stichprobenerhebung× | |
|---|---|---|
| Fachgebiet | Stichprobenverfahren | Stichprobenverfahren |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1952 | 1938 |
| Urheber≠ | Glenn A. McIntyre | Jerzy Neyman |
| Typ≠ | Sampling design methodology | Multi-phase sampling design |
| Wegweisende Quelle≠ | McIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390. DOI ↗ | Neyman, J. (1938). Contribution to the theory of sampling human populations. Journal of the American Statistical Association, 33(201), 101–116. DOI ↗ |
| Aliasnamen | RSS | Two-Phase Sampling |
| Verwandt | 4 | 4 |
| Zusammenfassung≠ | Ranked Set Sampling (RSS) is a data collection method introduced by G. A. McIntyre in 1952 that improves estimation efficiency when visual ranking of units is easier or cheaper than actual measurement. By deliberately selecting and measuring units that are ranked as most likely to yield desired outcomes, RSS reduces variance compared to simple random sampling while maintaining unbiasedness. | Double Sampling (also called two-phase or multistage sampling) is a survey design in which a large preliminary sample is collected using inexpensive methods or partial information, then a smaller subsample is drawn from it and measured in detail. Pioneered by Jerzy Neyman in 1938, it is particularly useful when a cheap surrogate measurement is available but true measurement is expensive. |
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