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আনুপাতিক বহুস্তরীয় নমুনাচয়ন×স্তরবিন্যস্ত নমুনায়ন (Stratified Sampling)×
ক্ষেত্রজরিপ পদ্ধতিজরিপ পদ্ধতি
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর1950s–1960s1977
প্রবর্তকLeslie Kish; William G. Cochran (theoretical foundations)William G. Cochran
ধরনProbability sampling designProbability-based survey sampling design
মৌলিক উৎসKish, L. (1965). Survey Sampling. John Wiley & Sons. (Chapters 6–7 on multistage and PPS designs.) ISBN: 978-0471489009Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
অপর নামproportional PPS multistage sampling, multistage probability proportional to size sampling, proportionate multistage cluster sampling, PPS multistage samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
সম্পর্কিত62
সারসংক্ষেপProportional multistage sampling is a probability sampling design that selects units across two or more hierarchical stages — for example, regions, then districts, then households — where the number of units drawn at each stage is proportional to the size of each higher-level unit. By weighting selection probabilities to match cluster size, it produces self-weighting samples that closely mirror the population structure and simplify variance estimation.Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.
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ScholarGateপদ্ধতির তুলনা করুন: Proportional Multistage Sampling · Stratified Sampling. 2026-06-18 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare