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العينة العشوائية البسيطة التناسبية×العينات الطبقية×
المجالمنهجية المسحمنهجية المسح
العائلةProcess / pipelineProcess / pipeline
سنة النشأةMid-20th century (formalized ~1950s–1970s)1977
صاحب الطريقةWilliam G. Cochran and survey statisticians (classical probability sampling tradition)William G. Cochran
النوعProbability sampling techniqueProbability-based survey sampling design
المصدر التأسيسيCochran, 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
الأسماء البديلةproportional SRS, probability-proportional simple random sampling, proportional random samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
ذات صلة62
الملخصProportional 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.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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ScholarGateقارن الطرق: Proportional Simple Random Sampling · Stratified Sampling. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare