השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| דגימה שכבתית אדפטיבית× | דגימה שכבתית× | |
|---|---|---|
| תחום | מתודולוגיית סקרים | מתודולוגיית סקרים |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1990s (formal development from Thompson 1990 onward) | 1977 |
| הוגה השיטה≠ | Steven K. Thompson (adaptive sampling); allocation adaptations by Salehi, Seber, and others | William G. Cochran |
| סוג≠ | Probability-based adaptive sampling design | Probability-based survey sampling design |
| מקור מכונן≠ | Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI ↗ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| כינויים | ASS, adaptive stratified design, stratified adaptive sampling, adaptive allocation stratified sampling | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| קשורות≠ | 6 | 2 |
| תקציר≠ | 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. |
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