Comparar métodos

	Amostra Ponderada	Amostragem Sistemática
Área	Metodologia de survey	Metodologia de survey
Família	Process / pipeline	Process / pipeline
Ano de origem	1940s–1952 (formalized in large-scale government survey work and the Horvitz-Thompson estimator)	Mid-20th century (Cochran 1953; Kish 1965)
Autor original	Morris H. Hansen, William N. Hurwitz; D. G. Horvitz and D. J. Thompson (theoretical framework)	William G. Cochran; formalized in survey sampling theory
Tipo	Probability sampling design	Probability sampling design
Fonte seminal	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
Outros nomes	probability proportional to size sampling, PPS sampling, unequal probability sampling, importance sampling	interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Relacionados	6	5
Resumo	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.	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.