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Parametric Bootstrap/Evidence
Method evidence record

Parametric Bootstrap

The 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.

Sources recorded, not reviewed

Source record

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

Parametric Bootstrap Resampling
Taxonomic method record · regression-model / statistics
  • Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. CRC Press. · ISBN 978-0412042317
  • Davison, A. C. & Hinkley, D. V. (1997). Bootstrap Methods and Their Application. Cambridge University Press. · ISBN 978-0521574716
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Curated claims

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

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

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 familyBCa Bootstrapmachine-suggested · Relational suggestion, not evidence.Same method familyBootstrap Inferencemachine-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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