Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Svērta sistemātiskā izlase× | Vienkāršā nejaušā izlase× | |
|---|---|---|
| Nozare | Aptauju metodoloģija | Aptauju metodoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | Mid-20th century (1950s-1970s) | Early 20th century; systematized by Cochran 1953/1977 |
| Autors≠ | William G. Cochran (systematic and weighted probability sampling theory) | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| Tips≠ | Probability sampling technique | Probability sampling design |
| Pirmavots≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Citi nosaukumi≠ | systematic sampling with weights, probability-weighted systematic sampling, systematic PPS sampling | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Saistītās≠ | 5 | 6 |
| Kopsavilkums≠ | Weighted systematic sampling selects units at equal spacing along a cumulative-weight axis rather than along a simple list index. By ordering the population and accumulating auxiliary size or importance weights before applying a fixed sampling interval, it combines the operational simplicity of systematic sampling with the efficiency gains of probability-proportional-to-size selection — giving larger or more important units a higher probability of inclusion while still visiting every part of the ordered frame. | 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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