विधियों की तुलना करें

	भारित व्यवस्थित प्रतिचयन (Weighted Systematic Sampling)	भारित प्रतिचयन
क्षेत्र	सर्वेक्षण पद्धति	सर्वेक्षण पद्धति
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	Mid-20th century (1950s-1970s)	1940s–1952 (formalized in large-scale government survey work and the Horvitz-Thompson estimator)
प्रवर्तक	William G. Cochran (systematic and weighted probability sampling theory)	Morris H. Hansen, William N. Hurwitz; D. G. Horvitz and D. J. Thompson (theoretical framework)
प्रकार	Probability sampling technique	Probability sampling design
मौलिक स्रोत	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
उपनाम	systematic sampling with weights, probability-weighted systematic sampling, systematic PPS sampling	probability proportional to size sampling, PPS sampling, unequal probability sampling, importance sampling
संबंधित	5	6
सारांश	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.	Weighted sampling is a probability-based design in which units are selected with unequal probabilities proportional to a known auxiliary measure of size or importance. Sampling weights — the inverse of inclusion probabilities — are applied during analysis so that each sampled unit correctly represents the population units it stands for. The approach underpins large-scale government, health, and social surveys where simple random sampling would be inefficient.