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Lĩnh vựcPhương pháp luận khảo sátPhương pháp luận khảo sát
HọProcess / pipelineProcess / pipeline
Năm ra đờiMid-20th century (formalized 1950s–1960s)1977
Người khởi xướngWilliam G. Cochran; Leslie KishWilliam G. Cochran
LoạiProbability sampling designProbability-based survey sampling design
Công trình gốcCochran, 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
Tên gọi khácproportional probability weighting, proportional weight sampling, probability proportional to size sampling, PPS samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Liên quan62
Tóm tắtProportional 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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ScholarGateSo sánh phương pháp: Proportional Weighted Sampling · Stratified Sampling. Truy cập ngày 2026-06-18 từ https://scholargate.app/vi/compare