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Vážený stratifikovaný výber×Jednoduchý náhodný výber×
OdborMetodológia dotazníkových prieskumovMetodológia dotazníkových prieskumov
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1953–1965Early 20th century; systematized by Cochran 1953/1977
TvorcaLeslie Kish; William G. CochranWilliam Gosset, Jerzy Neyman, and formalized by William Cochran
TypProbability sampling with weightingProbability sampling design
Pôvodný zdrojCochran, 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
Ďalšie názvystratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSSSRS, unrestricted random sampling, equal-probability sampling, EPSEM
Príbuzné66
ZhrnutieWeighted stratified sampling divides a population into non-overlapping strata and draws a probability sample from each stratum, then attaches a design weight to every selected unit so that estimates correctly represent the full population. Weights compensate for unequal selection probabilities that arise from disproportionate stratum allocations, non-response, or frame imperfections, making the procedure the backbone of most large-scale national and international surveys.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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ScholarGatePorovnať metódy: Weighted Stratified Sampling · Simple random sampling. Získané 2026-06-17 z https://scholargate.app/sk/compare