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BCa Bootstrap

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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Bias-Corrected and Accelerated Bootstrap

Rekod kaedah taksonomik · regression-model / statistics

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