Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Adaptivní výběr prostým náhodným výběrem× | Prostý náhodný výběr× | |
|---|---|---|
| Obor | Metodologie dotazníkových šetření | Metodologie dotazníkových šetření |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1990–1992 | Early 20th century; systematized by Cochran 1953/1977 |
| Tvůrce≠ | Steven K. Thompson | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| Typ≠ | Probability-based adaptive sampling design | Probability sampling design |
| Původní zdroj≠ | Thompson, S. K. (1992). Sampling. John Wiley & Sons. ISBN: 978-0471548850 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Další názvy | ASRS, adaptive SRS, adaptive random sampling, sequential adaptive sampling | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Příbuzné≠ | 5 | 6 |
| Shrnutí≠ | 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. | Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated. |
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