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आनुपातिक क्लस्टर नमूनाकरण×Systematic Sampling×
क्षेत्रसर्वेक्षण पद्धतिसर्वेक्षण पद्धति
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष1950s–1960sMid-20th century (Cochran 1953; Kish 1965)
प्रवर्तकFormalized by William G. Cochran and Leslie KishWilliam G. Cochran; formalized in survey sampling theory
प्रकारProbability sampling designProbability sampling design
मौलिक स्रोतCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
उपनामPPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size samplinginterval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
संबंधित65
सारांशProportional cluster sampling selects naturally occurring groups (clusters) from a population with probability proportional to each cluster's size, so that larger clusters have a higher chance of selection while every individual element retains an equal overall inclusion probability. This design efficiently handles large, geographically dispersed populations and is the backbone of national health, education, and social surveys worldwide.Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.
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ScholarGateविधियों की तुलना करें: Proportional Cluster Sampling · Systematic Sampling. 2026-06-17 को यहाँ से प्राप्त https://scholargate.app/hi/compare