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단순 무작위 표본 추출(SRS)×층화 표본 추출×
분야조사방법론조사방법론
계열Process / pipelineProcess / pipeline
기원 연도Early 20th century; systematized by Cochran 1953/19771977
창시자William Gosset, Jerzy Neyman, and formalized by William CochranWilliam G. Cochran
유형Probability sampling designProbability-based survey sampling design
원전Cochran, 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
별칭SRS, unrestricted random sampling, equal-probability sampling, EPSEMProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
관련62
요약Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.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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