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BCa Bootstrap/Evidence
Method evidence record

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.

Sources recorded, not reviewed

Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bias-Corrected and Accelerated Bootstrap
Taxonomic method record · regression-model / statistics
  • Efron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. · DOI 10.1080/01621459.1987.10478410
  • DiCiccio, T. J. & Efron, B. (1996). Bootstrap Confidence Intervals. Statistical Science, 11(3), 189-228. · DOI 10.1214/ss/1032280214
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyBayesian Bootstrapmachine-suggested · Relational suggestion, not evidence.Same method familyBootstrap Inferencemachine-suggested · Relational suggestion, not evidence.Same method familyDouble Bootstrapmachine-suggested · Relational suggestion, not evidence.Same method familyPermutation Testmachine-suggested · Relational suggestion, not evidence.Same method familyWild Bootstrapmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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