Process / pipelineNonparametric

Inverse Sampling

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.

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Sources

  1. Haldane, J. B. S. (1945). On a method of estimating frequencies. Biometrika, 33(3), 222–224. DOI: 10.1093/biomet/33.3.222
  2. Serfling, R. J. (1968). Contributions to central limit theory for dependent variables. Annals of Mathematical Statistics, 39(4), 1158–1175. DOI: 10.1214/aoms/1177698339
  3. Lahiri, D. B. (1951). On the question of bias of some estimators and a suggestion for unbiased estimation. Journal of the Indian Statistical Association, 1(1), 25–42. link

Related methods

ScholarGateInverse Sampling (Inverse Sampling (Sequential Sampling)). Retrieved 2026-06-04 from https://scholargate.app/tr/sampling/inverse-sampling