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Proporcionálne vážený výber×Stratifikovaný výber×
OdborMetodológia dotazníkových prieskumovMetodológia dotazníkových prieskumov
RodinaProcess / pipelineProcess / pipeline
Rok vznikuMid-20th century (formalized 1950s–1960s)1977
TvorcaWilliam G. Cochran; Leslie KishWilliam G. Cochran
TypProbability sampling designProbability-based survey sampling design
Pôvodný zdrojCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Ďalšie názvyproportional probability weighting, proportional weight sampling, probability proportional to size sampling, PPS samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Príbuzné62
ZhrnutieProportional weighted sampling is a probability-based survey design in which each subgroup (stratum or cluster) of the population is sampled and weighted in proportion to its true size in the population. By assigning sampling weights that mirror the actual composition of the population, the method ensures unbiased estimates without the need for post-hoc reweighting, and produces efficient estimates when variance within subgroups is relatively homogeneous.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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ScholarGatePorovnať metódy: Proportional Weighted Sampling · Stratified Sampling. Získané 2026-06-18 z https://scholargate.app/sk/compare