方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 二次抽样× | 系统抽样× | |
|---|---|---|
| 领域≠ | 抽样 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1938 | Mid-20th century (Cochran 1953; Kish 1965) |
| 提出者≠ | Jerzy Neyman | William G. Cochran; formalized in survey sampling theory |
| 类型≠ | Multi-phase sampling design | Probability sampling design |
| 开创性文献≠ | Neyman, J. (1938). Contribution to the theory of sampling human populations. Journal of the American Statistical Association, 33(201), 101–116. DOI ↗ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 别名≠ | Two-Phase Sampling | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| 相关≠ | 4 | 5 |
| 摘要≠ | Double Sampling (also called two-phase or multistage sampling) is a survey design in which a large preliminary sample is collected using inexpensive methods or partial information, then a smaller subsample is drawn from it and measured in detail. Pioneered by Jerzy Neyman in 1938, it is particularly useful when a cheap surrogate measurement is available but true measurement is expensive. | Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity. |
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