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Proporcionālā vienkāršā nejaušā izlase×Stratificētā izlase ar proporcionālu sadalījumu×
NozareAptauju metodoloģijaAptauju metodoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gadsMid-20th century (formalized ~1950s–1970s)1953–1965 (formalized in survey sampling literature)
AutorsWilliam G. Cochran and survey statisticians (classical probability sampling tradition)William G. Cochran; Leslie Kish
TipsProbability sampling techniqueProbability sampling design
PirmavotsCochran, 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
Citi nosaukumiproportional SRS, probability-proportional simple random sampling, proportional random samplingproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling
Saistītās66
KopsavilkumsProportional simple random sampling is a probability-based sampling technique in which units are drawn at random from each subgroup of the population in numbers proportional to each subgroup's share of the total population. This ensures the resulting sample mirrors the population's composition across key subgroups, while retaining the randomness and unbiasedness of simple random sampling within each group.Proportional stratified sampling divides the target population into non-overlapping strata (subgroups defined by a key characteristic such as age band, region, or gender) and then draws a simple random sample from each stratum so that each stratum's share of the total sample matches its share of the total population. Because each subgroup is represented in exact proportion to its population weight, the resulting sample mirrors the population structure closely without requiring post-hoc weighting adjustments.
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ScholarGateSalīdzināt metodes: Proportional Simple Random Sampling · Proportional Stratified Sampling. Izgūts 2026-06-18 no https://scholargate.app/lv/compare