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逆向抽样×有序集合抽样×顺序分析(分组顺序设计)×
领域抽样抽样统计学
方法族Process / pipelineProcess / pipelineHypothesis test
起源年份194519521977
提出者John Burdon Sanderson HaldaneGlenn A. McIntyreP. C. O'Brien & T. R. Fleming; P. C. Pocock
类型Sequential sampling methodSampling design methodologySequential / adaptive hypothesis test
开创性文献Haldane, 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 ↗O'Brien, P.C. & Fleming, T.R. (1979). A Multiple Testing Procedure for Clinical Trials. Biometrics, 35(3), 549–556. DOI ↗
别名Sequential SamplingRSSsequential testing, group sequential design, interim analysis, Sıralı Analiz (Sequential Testing / Group Sequential Design)
相关345
摘要Inverse 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.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.
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ScholarGate方法对比: Inverse Sampling · Ranked Set Sampling · Sequential Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare