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Amostragem Inversa×Amostragem por Conjuntos Ranqueados×
ÁreaAmostragemAmostragem
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19451952
Autor originalJohn Burdon Sanderson HaldaneGlenn A. McIntyre
TipoSequential sampling methodSampling design methodology
Fonte seminalHaldane, J. B. S. (1945). On a method of estimating frequencies. Biometrika, 33(3), 222–224. DOI ↗McIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390. DOI ↗
Outros nomesSequential SamplingRSS
Relacionados34
ResumoInverse Sampling is a sequential sampling strategy where sampling continues until a fixed number of occurrences of a rare event or item of interest is observed. Introduced by J. B. S. Haldane in 1945, it is particularly efficient for estimating rare event probabilities or proportions when the target is sparse and costly to detect.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.
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ScholarGateComparar métodos: Inverse Sampling · Ranked Set Sampling. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare