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Inverse Sampling/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Inverse Sampling (Sequential Sampling)
Taxonomic method record · process-pipeline / sampling
  • Haldane, J. B. S. (1945). On a method of estimating frequencies. Biometrika, 33(3), 222–224. · DOI 10.1093/biomet/33.3.222
  • Serfling, R. J. (1968). Contributions to central limit theory for dependent variables. Annals of Mathematical Statistics, 39(4), 1158–1175. · DOI 10.1214/aoms/1177698240
  • 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. · URL
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketDouble Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRanked Set Samplingmachine-suggested · Relational suggestion, not evidence.See alsoSequential Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

3 recorded citations, copied from the method source record.

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