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Échantillonnage par ensembles classés×Analyse séquentielle (plan séquentiel de groupe)×
DomaineÉchantillonnageStatistique
FamilleProcess / pipelineHypothesis test
Année d'origine19521977
Auteur d'origineGlenn A. McIntyreP. C. O'Brien & T. R. Fleming; P. C. Pocock
TypeSampling design methodologySequential / adaptive hypothesis test
Source fondatriceMcIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390. DOI ↗O'Brien, P.C. & Fleming, T.R. (1979). A Multiple Testing Procedure for Clinical Trials. Biometrics, 35(3), 549–556. DOI ↗
AliasRSSsequential testing, group sequential design, interim analysis, Sıralı Analiz (Sequential Testing / Group Sequential Design)
Apparentées45
RésuméRanked 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.Sequential analysis is a framework for conducting hypothesis tests with pre-planned interim looks at accumulating data, allowing a study to stop early for efficacy or futility while controlling the overall Type I error rate. The group sequential approach was formalised by Pocock (1977) and O'Brien and Fleming (1979), and remains the standard for confirmatory clinical trials and rigorous A/B experiments.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Ranked Set Sampling · Sequential Analysis. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare