Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Пропорциональная простая случайная выборка× | Простая случайная выборка× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-20th century (formalized ~1950s–1970s) | Early 20th century; systematized by Cochran 1953/1977 |
| Автор метода≠ | 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 |
| Основополагающий источник | 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 |
| Другие названия≠ | proportional SRS, probability-proportional simple random sampling, proportional random sampling | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Связанные | 6 | 6 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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