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方法族Process / pipelineProcess / pipeline
起源年份1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970sEarly 20th century; systematized by Cochran 1953/1977
提出者William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literatureWilliam Gosset, Jerzy Neyman, and formalized by William Cochran
类型Probability sampling designProbability sampling design
开创性文献Cochran, 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
别名systematic field sampling, grid-based field sampling, regular interval field samplingSRS, unrestricted random sampling, equal-probability sampling, EPSEM
相关66
摘要Field-based systematic sampling applies systematic (regular-interval) selection to real-world field environments — plots of land, transects, geographic grids, or physical survey routes. A random starting point is chosen, then every k-th unit or location is sampled at equal spatial or sequential intervals. Widely used in ecology, agriculture, environmental science, and field surveys, it delivers spatially even coverage at low operational cost while maintaining probability-sampling properties.Simple 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.
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ScholarGate方法对比: Field-based systematic sampling · Simple random sampling. 于 2026-06-15 检索自 https://scholargate.app/zh/compare