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Disproportional Stratified Sampling

Disproportional stratified sampling divides the population into mutually exclusive strata and deliberately draws different proportions from each stratum — oversampling small or analytically important subgroups and undersampling large ones. Post-hoc weighting restores population-level representativeness when overall estimates are needed. First formalised by Jerzy Neyman in 1934, it is the standard approach when subgroup-level precision matters as much as total-population estimates.

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Disproportional Stratified Random Sampling

Taksonoomiline meetodikirje · process-pipeline / survey-methodology

Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. · ISBN 978-0471162407
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), 558-625. · DOI 10.2307/2342192

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Taxonomic bucketCluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultistage Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketProportional Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSimple random samplingmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Samplingmachine-suggested · Relational suggestion, not evidence.