Comparer des méthodes

	Échantillonnage stratifié pondéré	Échantillonnage aléatoire simple
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1953–1965	Early 20th century; systematized by Cochran 1953/1977
Auteur d'origine	Leslie Kish; William G. Cochran	William Gosset, Jerzy Neyman, and formalized by William Cochran
Type	Probability sampling with weighting	Probability sampling design
Source fondatrice	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Alias	stratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSS	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
Apparentées	6	6
Résumé	Weighted stratified sampling divides a population into non-overlapping strata and draws a probability sample from each stratum, then attaches a design weight to every selected unit so that estimates correctly represent the full population. Weights compensate for unequal selection probabilities that arise from disproportionate stratum allocations, non-response, or frame imperfections, making the procedure the backbone of most large-scale national and international surveys.	Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.