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آزمون جایگشتی (تصادفی‌سازی)×استنتاج بوتسترپ×
حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش20051979
پدیدآورGood (2005); Edgington & Onghena (2007); resampling traditionBradley Efron
نوعNonparametric resampling testResampling-based inference
منبع بنیادینGood, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
نام‌های دیگرrandomization test, exact permutation test, re-randomization test, Permütasyon Testibootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
مرتبط55
خلاصهThe permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.
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ScholarGateمقایسهٔ روش‌ها: Permutation Test · Bootstrap Inference. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare