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আনুপাতিক ভারযুক্ত নমুনায়ন×বহু-পর্যায় নমুনায়ন×
ক্ষেত্রজরিপ পদ্ধতিজরিপ পদ্ধতি
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছরMid-20th century (formalized 1950s–1960s)1950s–1960s (formalized in Kish 1965 and Cochran 1977)
প্রবর্তকWilliam G. Cochran; Leslie KishLeslie Kish; William G. Cochran
ধরনProbability sampling designProbability sampling design
মৌলিক উৎসCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
অপর নামproportional probability weighting, proportional weight sampling, probability proportional to size sampling, PPS samplingmultistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
সম্পর্কিত65
সারসংক্ষেপProportional 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.
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ScholarGateপদ্ধতির তুলনা করুন: Proportional Weighted Sampling · Multistage Sampling. 2026-06-18 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare