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Muestreo Inverso×Muestreo por Conjuntos Ordenados×
CampoMuestreoMuestreo
FamiliaProcess / pipelineProcess / pipeline
Año de origen19451952
Autor originalJohn Burdon Sanderson HaldaneGlenn A. McIntyre
TipoSequential sampling methodSampling design methodology
Fuente 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 ↗
AliasSequential SamplingRSS
Relacionados34
ResumenInverse 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.
ScholarGateConjunto de datos
  1. v1
  2. 3 Fuentes
  3. PUBLISHED
  1. v1
  2. 3 Fuentes
  3. PUBLISHED

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ScholarGateComparar métodos: Inverse Sampling · Ranked Set Sampling. Recuperado el 2026-06-17 de https://scholargate.app/es/compare