विधियों की तुलना करें

	आनुपातिक भारित प्रतिचयन	बहु-चरणीय नमूनाकरण
क्षेत्र	सर्वेक्षण पद्धति	सर्वेक्षण पद्धति
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	Mid-20th century (formalized 1950s–1960s)	1950s–1960s (formalized in Kish 1965 and Cochran 1977)
प्रवर्तक	William G. Cochran; Leslie Kish	Leslie Kish; William G. Cochran
प्रकार	Probability sampling design	Probability sampling design
मौलिक स्रोत	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
उपनाम	proportional probability weighting, proportional weight sampling, probability proportional to size sampling, PPS sampling	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
संबंधित	6	5
सारांश	Proportional weighted sampling is a probability-based survey design in which each subgroup (stratum or cluster) of the population is sampled and weighted in proportion to its true size in the population. By assigning sampling weights that mirror the actual composition of the population, the method ensures unbiased estimates without the need for post-hoc reweighting, and produces efficient estimates when variance within subgroups is relatively homogeneous.	Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage.