Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Amostragem Aleatória Simples× | Amostragem Estratificada× | |
|---|---|---|
| Área | Metodologia de survey | Metodologia de survey |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | Early 20th century; systematized by Cochran 1953/1977 | 1977 |
| Autor original≠ | William Gosset, Jerzy Neyman, and formalized by William Cochran | William G. Cochran |
| Tipo≠ | Probability sampling design | Probability-based survey 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.). Wiley. ISBN: 978-0-471-16240-7 |
| Outros nomes | SRS, unrestricted random sampling, equal-probability sampling, EPSEM | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| Relacionados≠ | 6 | 2 |
| Resumo≠ | 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. | Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics. |
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