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Mètode de mostreig per rang (Ranked Set Sampling, RSS)×Mostreig sistemàtic×
CampMostreigMetodologia d'enquestes
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1952Mid-20th century (Cochran 1953; Kish 1965)
Autor originalGlenn A. McIntyreWilliam G. Cochran; formalized in survey sampling theory
TipusSampling design methodologyProbability sampling design
Font seminalMcIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390. DOI ↗Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
ÀliesRSSinterval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Relacionats45
ResumRanked 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.Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.
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ScholarGateCompara mètodes: Ranked Set Sampling · Systematic Sampling. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare