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BCa Bootstrap (تصحیح‌شده با بایاس و شتاب‌یافته)×استنتاج بوتسترپ×
حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش19871979
پدیدآورBradley EfronBradley Efron
نوعResampling confidence intervalResampling-based inference
منبع بنیادینEfron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
نام‌های دیگرBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalbootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
مرتبط55
خلاصهThe BCa bootstrap is a resampling method, introduced by Bradley Efron in 1987, that produces more accurate confidence intervals than the plain percentile bootstrap by applying a bias correction and an acceleration adjustment. It is recommended for skewed distributions and small samples.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.
ScholarGateمجموعه‌داده
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  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: BCa Bootstrap · Bootstrap Inference. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare