Process / pipelineNonparametric

Double Sampling

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.

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Sources

  1. Neyman, J. (1938). Contribution to the theory of sampling human populations. Journal of the American Statistical Association, 33(201), 101–116. DOI: 10.1080/01621459.1938.10503378
  2. Hansen, M. H., & Hurwitz, W. N. (1943). On the theory of sampling from finite populations. Annals of Mathematical Statistics, 14(4), 333–362. DOI: 10.1214/aoms/1177731356
  3. Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. link

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Referenced by

ScholarGateDouble Sampling (Double Sampling (Two-Phase Sampling)). Retrieved 2026-06-04 from https://scholargate.app/en/sampling/double-sampling