On the Two Different Aspects of the Representative Method¶
Neyman, J. (1934). On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection. Journal of the Royal Statistical Society, 97(4), 558-606.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Confidence Intervals
This sourceFoundational paper establishing stratified sampling as a principled estimation method (and an early appearance of confidence-interval ideas).
- Sampling (Representativeness)
- This principle, formalized by Jerzy Neyman in 1934 and consolidated by Leslie Kish in 1965, distinguishes rigorous probability-sampling methodology from convenient but inference-limiting non-probability approaches, and underpins the inference apparatus across public-opinion polling, official statistics, epidemiology, ecology, audit, and data science.
This sourceFoundational treatment establishing stratified sampling as a principled estimation method, with optimal allocation depending on the within-stratum variance of the distinguishing variable.
- This principle, formalized by Jerzy Neyman in 1934 and consolidated by Leslie Kish in 1965, distinguishes rigorous probability-sampling methodology from convenient but inference-limiting non-probability approaches, and underpins the inference apparatus across public-opinion polling, official statistics, epidemiology, ecology, audit, and data science.
- Stratification
- Distinguishing property.
This sourceFoundational treatment establishing stratified sampling as a principled estimation method, with optimal allocation depending on the within-stratum variance of the distinguishing variable.
- Distinguishing property.
Mechanisms¶
- Side-Stream Sampling Plan
- Sample counts are set so each channel figure carries a defensible band — stratified so that high-variance streams get more samples than steady ones.
This sourceDerives stratified allocation that assigns more observations to strata with greater variability.
- Sample counts are set so each channel figure carries a defensible band — stratified so that high-variance streams get more samples than steady ones.
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