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| Пропорційна проста випадкова вибірка× | Простий випадковий відбір× | |
|---|---|---|
| Галузь | Методологія опитувань | Методологія опитувань |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | Mid-20th century (formalized ~1950s–1970s) | Early 20th century; systematized by Cochran 1953/1977 |
| Автор методу≠ | William G. Cochran and survey statisticians (classical probability sampling tradition) | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| Тип≠ | Probability sampling technique | Probability sampling design |
| Основоположне джерело | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Інші назви≠ | proportional SRS, probability-proportional simple random sampling, proportional random sampling | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Пов'язані | 6 | 6 |
| Підсумок≠ | Proportional 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. | 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. |
| ScholarGateНабір даних ↗ |
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