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.
Rekod sumber
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- 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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