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Lấy mẫu ngẫu nhiên đơn giản theo tỷ lệ×Lấy mẫu có trọng số×
Lĩnh vựcPhương pháp luận khảo sátPhương pháp luận khảo sát
HọProcess / pipelineProcess / pipeline
Năm ra đờiMid-20th century (formalized ~1950s–1970s)1940s–1952 (formalized in large-scale government survey work and the Horvitz-Thompson estimator)
Người khởi xướngWilliam G. Cochran and survey statisticians (classical probability sampling tradition)Morris H. Hansen, William N. Hurwitz; D. G. Horvitz and D. J. Thompson (theoretical framework)
LoạiProbability sampling techniqueProbability 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.). John Wiley & Sons. ISBN: 978-0471162407
Tên gọi khácproportional SRS, probability-proportional simple random sampling, proportional random samplingprobability proportional to size sampling, PPS sampling, unequal probability sampling, importance sampling
Liên quan66
Tóm tắtProportional simple random sampling is a probability-based sampling technique in which units are drawn at random from each subgroup of the population in numbers proportional to each subgroup's share of the total population. This ensures the resulting sample mirrors the population's composition across key subgroups, while retaining the randomness and unbiasedness of simple random sampling within each group.Weighted sampling is a probability-based design in which units are selected with unequal probabilities proportional to a known auxiliary measure of size or importance. Sampling weights — the inverse of inclusion probabilities — are applied during analysis so that each sampled unit correctly represents the population units it stands for. The approach underpins large-scale government, health, and social surveys where simple random sampling would be inefficient.
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ScholarGateSo sánh phương pháp: Proportional Simple Random Sampling · Weighted Sampling. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare