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Ranked Set Sampling/Evidence
Method evidence record

Ranked Set Sampling

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.

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Source record

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

Ranked Set Sampling (RSS)
Taxonomic method record · process-pipeline / sampling
  • McIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390. · DOI 10.1071/ar9520385
  • Takahasi, K., & Wakimoto, K. (1968). On unbiased estimates of population mean based on the sample stratified by successive groups. Annals of the Institute of Statistical Mathematics, 20(1), 1–31. · DOI 10.1007/bf02911622
  • Wolfe, D. A. (1992). Illustrated concepts of ranked-set sampling. The American Statistician, 46(4), 229–232. · URL
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Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

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

Same method familyCluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDouble Samplingmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.Same method familySystematic Samplingmachine-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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