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بوت استرپ پارامتری×BCa Bootstrap (تصحیح‌شده با بایاس و شتاب‌یافته)×
حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش19931987
پدیدآورEfron & Tibshirani; Davison & HinkleyBradley Efron
نوعResampling-based inference (model-based)Resampling confidence interval
منبع بنیادینEfron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. CRC Press. ISBN: 978-0412042317Efron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗
نام‌های دیگرparametrik bootstrap, model-based bootstrap, parametric resamplingBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence interval
مرتبط55
خلاصهThe parametric bootstrap is a resampling method that estimates standard errors and confidence intervals by drawing repeated samples from a parametric model that has been fitted to the data. Developed in the bootstrap literature of Efron and Tibshirani (1993) and Davison and Hinkley (1997), it replaces analytic derivations for non-normal distributions and complex statistics.The 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.
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ScholarGateمقایسهٔ روش‌ها: Parametric Bootstrap · BCa Bootstrap. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare