Weighted Sampling
Weighted sampling is a probability-based design in which units are selected with unequal probabilities proportional to a known auxiliary measure of size or importance. Sampling weights — the inverse of inclusion probabilities — are applied during analysis so that each sampled unit correctly represents the population units it stands for. The approach underpins large-scale government, health, and social surveys where simple random sampling would be inefficient.
Kilderegister
Siteringer kopiert ordrett fra metodens kilderegister. Ingen påstandsnivåverifisering er underforstått fra dem.
- Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. · ISBN 978-0471162407
- Horvitz, D. G., & Thompson, D. J. (1952). A generalization of sampling without replacement from a finite universe. Journal of the American Statistical Association, 47(260), 663-685. · DOI 10.2307/2280784
Kuraterte påstander
Påstander lagret i bevishovedboken, hver med sin egen vurdering.
Denne visningen finner ikke opp en påstandsvurdering når hovedboken ikke har noen.
Relaterte metoder
Generert fra metodegrafen og vist som maskinforslåtte relasjoner – ingen bevispåstand er underforstått.