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Ważony dobór systematyczny×Próba warstwowa×
DziedzinaMetodologia badań sondażowychMetodologia badań sondażowych
RodzinaProcess / pipelineProcess / pipeline
Rok powstaniaMid-20th century (1950s-1970s)1977
TwórcaWilliam G. Cochran (systematic and weighted probability sampling theory)William G. Cochran
TypProbability sampling techniqueProbability-based survey sampling design
Źródło pierwotneCochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Inne nazwysystematic sampling with weights, probability-weighted systematic sampling, systematic PPS samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Pokrewne52
PodsumowanieWeighted systematic sampling selects units at equal spacing along a cumulative-weight axis rather than along a simple list index. By ordering the population and accumulating auxiliary size or importance weights before applying a fixed sampling interval, it combines the operational simplicity of systematic sampling with the efficiency gains of probability-proportional-to-size selection — giving larger or more important units a higher probability of inclusion while still visiting every part of the ordered frame.Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.
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ScholarGatePorównaj metody: Weighted Systematic Sampling · Stratified Sampling. Pobrano 2026-06-15 z https://scholargate.app/pl/compare