Comparer des méthodes

	Échantillonnage par ensembles classés	Échantillonnage systématique
Domaine	Échantillonnage	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1952	Mid-20th century (Cochran 1953; Kish 1965)
Auteur d'origine	Glenn A. McIntyre	William G. Cochran; formalized in survey sampling theory
Type	Sampling design methodology	Probability sampling design
Source fondatrice	McIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390.	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Alias	RSS	interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Apparentées	4	5
Résumé	Ranked Set Sampling (RSS) is a data collection method introduced by G. A. McIntyre in 1952 that improves estimation efficiency when visual ranking of units is easier or cheaper than actual measurement. By deliberately selecting and measuring units that are ranked as most likely to yield desired outcomes, RSS reduces variance compared to simple random sampling while maintaining unbiasedness.	Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.