Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Adaptiivne lihtne juhuslik valim (ASRS)× | Adaptiivne klastrite valim× | |
|---|---|---|
| Valdkond | Küsitlusmetoodika | Küsitlusmetoodika |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 1990–1992 | 1990 |
| Looja | Steven K. Thompson | Steven K. Thompson |
| Tüüp | Probability-based adaptive sampling design | Probability-based adaptive sampling design |
| Algallikas≠ | Thompson, S. K. (1992). Sampling. John Wiley & Sons. ISBN: 978-0471548850 | Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI ↗ |
| Rööpnimetused | ASRS, adaptive SRS, adaptive random sampling, sequential adaptive sampling | ACS, adaptive network sampling, sequential cluster sampling, neighborhood adaptive sampling |
| Seotud≠ | 5 | 6 |
| Kokkuvõte≠ | 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. | Adaptive cluster sampling (ACS) is a probability-based design in which an initial random sample of units triggers the inclusion of neighboring units whenever a predefined condition — typically a threshold count of a rare attribute — is satisfied. Developed by Steven K. Thompson in 1990, ACS is especially powerful for estimating the abundance or distribution of rare, spatially clustered populations such as endangered species, disease hotspots, or hard-to-reach social groups. |
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