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شبیه‌سازی بوت‌استرپ سلسله‌مراتبی×شبیه‌سازی بوت‌استرپ چندسطحی×
حوزهبیزیبیزی
خانوادهBayesian methodsBayesian methods
سال پیدایش1997-20081979 (bootstrap); multilevel variants c.1990s
پدیدآورDavison & Hinkley; Cameron, Gelbach & MillerEfron (1979); multilevel extensions developed through 1980s–2000s
نوعresampling simulationresampling / simulation
منبع بنیادینDavison, A. C. & Hinkley, D. V. (1997). Bootstrap Methods and their Application. Cambridge University Press. ISBN: 978-0521574716Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7(1), 1–26. DOI ↗
نام‌های دیگرcluster bootstrap, multilevel bootstrap, nested bootstrap resampling, hierarchical resamplinghierarchical bootstrap, cluster bootstrap, stratified bootstrap for multilevel data, multilevel resampling
مرتبط56
خلاصهHierarchical bootstrap simulation is a resampling technique designed for data with nested or clustered structure — students within schools, patients within hospitals, repeated measures within subjects. It preserves the natural grouping of the data by resampling at each level of the hierarchy in sequence, producing a sampling distribution that correctly reflects both between-group and within-group variability.Multilevel bootstrap simulation is a resampling technique designed for clustered or hierarchically structured data. It preserves the nested data structure by resampling at each level independently — first drawing clusters (e.g., schools, hospitals), then drawing observations within each sampled cluster — so that bootstrap replicate datasets reflect the same multilevel organisation as the original data.
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ScholarGateمقایسهٔ روش‌ها: Hierarchical Bootstrap Simulation · Multilevel Bootstrap Simulation. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare