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আনুপাতিক পদ্ধতিগত নমুনায়ন (Proportional Systematic Sampling)×গুচ্ছ নমুনাচয়ন×
ক্ষেত্রজরিপ পদ্ধতিজরিপ পদ্ধতি
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছরMid-20th century (formalized ~1950s–1970s)Early-to-mid 20th century; canonical treatment 1953/1977
প্রবর্তকCodified in classical survey sampling theory; see Cochran (1977)Formalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice
ধরনProbability sampling designProbability sampling design
মৌলিক উৎসCochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
অপর নামproportional 1-in-k sampling, equal-probability systematic sampling, proportionate systematic selection, PPS systematic samplingcluster random sampling, area sampling, one-stage cluster sampling
সম্পর্কিত65
সারসংক্ষেপProportional systematic sampling combines systematic (every k-th element) selection with proportional allocation across subgroups, ensuring that each stratum contributes sample units in proportion to its share of the total population. The result is an equal-probability design that is administratively simple, spreads the sample evenly across an ordered frame, and eliminates the need for post-hoc weighting when strata are sampled at a uniform rate.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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ScholarGateপদ্ধতির তুলনা করুন: Proportional Systematic Sampling · Cluster Sampling. 2026-06-17 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare