Porównaj metody

	Adaptacyjne próbkowanie stratyfikowane	Próba warstwowa
Dziedzina	Metodologia badań sondażowych	Metodologia badań sondażowych
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1990s (formal development from Thompson 1990 onward)	1977
Twórca	Steven K. Thompson (adaptive sampling); allocation adaptations by Salehi, Seber, and others	William G. Cochran
Typ	Probability-based adaptive sampling design	Probability-based survey sampling design
Źródło pierwotne	Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059.	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Inne nazwy	ASS, adaptive stratified design, stratified adaptive sampling, adaptive allocation stratified sampling	Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Pokrewne	6	2
Podsumowanie	Adaptive stratified sampling divides the population into strata and then applies an adaptive rule within each stratum: whenever an initially selected unit satisfies a pre-specified condition (e.g., a rare species is found, a variable exceeds a threshold), neighboring or related units are added to the sample. This combines the variance-reduction power of stratification with the ability to concentrate sampling effort where the phenomenon of interest is actually present.	Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.