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استنتاج بوتسترپ×برآورد انحراف مطلق میانه (MAD)×
حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش19791974
پدیدآورBradley EfronHampel (influence-curve treatment); classical robust statistics
نوعResampling-based inferenceRobust scale estimator
منبع بنیادینEfron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗Hampel, F. R. (1974). The Influence Curve and Its Role in Robust Estimation. Journal of the American Statistical Association, 69(346), 383-393. DOI ↗
نام‌های دیگرbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımımedian absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahmini
مرتبط55
خلاصهBootstrap 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.Median Absolute Deviation estimation is a robust measure of statistical dispersion that replaces the standard deviation when outliers are present. Rooted in the influence-curve framework formalised by Hampel (1974), it summarises the spread of a continuous variable using medians instead of means, so a single extreme value cannot distort the result.
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ScholarGateمقایسهٔ روش‌ها: Bootstrap Inference · MAD Estimation. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare