विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| रैंक्ड सेट सैंपलिंग× | क्लस्टर सैंपलिंग (Cluster Sampling)× | |
|---|---|---|
| क्षेत्र≠ | प्रतिचयन | सर्वेक्षण पद्धति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1952 | Early-to-mid 20th century; canonical treatment 1953/1977 |
| प्रवर्तक≠ | Glenn A. McIntyre | Formalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice |
| प्रकार≠ | Sampling design methodology | Probability sampling design |
| मौलिक स्रोत≠ | McIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390. DOI ↗ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 |
| उपनाम≠ | RSS | cluster random sampling, area sampling, one-stage cluster sampling |
| संबंधित≠ | 4 | 5 |
| सारांश≠ | Ranked Set Sampling (RSS) is a data collection method introduced by G. A. McIntyre in 1952 that improves estimation efficiency when visual ranking of units is easier or cheaper than actual measurement. By deliberately selecting and measuring units that are ranked as most likely to yield desired outcomes, RSS reduces variance compared to simple random sampling while maintaining unbiasedness. | Cluster sampling is a probability sampling technique in which the population is divided into naturally occurring groups (clusters), a random sample of clusters is selected, and all — or a random subset of — members within each selected cluster are studied. It is especially practical when a complete population list is unavailable or when units are geographically dispersed, making individual random selection prohibitively expensive. One-stage cluster sampling surveys every member of selected clusters; two-stage designs add a second random draw within clusters. |
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