Comparer des méthodes

	Échantillonnage systématique pondéré	Échantillonnage à plusieurs degrés
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	Mid-20th century (1950s-1970s)	1950s–1960s (formalized in Kish 1965 and Cochran 1977)
Auteur d'origine	William G. Cochran (systematic and weighted probability sampling theory)	Leslie Kish; William G. Cochran
Type	Probability sampling technique	Probability sampling design
Source fondatrice	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
Alias	systematic sampling with weights, probability-weighted systematic sampling, systematic PPS sampling	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
Apparentées	5	5
Résumé	Weighted systematic sampling selects units at equal spacing along a cumulative-weight axis rather than along a simple list index. By ordering the population and accumulating auxiliary size or importance weights before applying a fixed sampling interval, it combines the operational simplicity of systematic sampling with the efficiency gains of probability-proportional-to-size selection — giving larger or more important units a higher probability of inclusion while still visiting every part of the ordered frame.	Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage.