Bounding the resampling risk for sequential Monte Carlo implementation of hypothesis tests

DOI10.1016/j.jspi.2010.01.003zbMath1190.62142OpenAlexW2049781980WikidataQ33876413 ScholiaQ33876413MaRDI QIDQ963873

Hyune-Ju Kim

Publication date: 14 April 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2876353

zbMATH Keywords

bootstrapapproximationpermutationsequential design\(B\)-value

Mathematics Subject Classification ID

Related Items (3)

On the expected runtime of multiple testing algorithms with bounded error ⋮ A simple method for implementing Monte Carlo tests ⋮ Optimal allocation of Monte Carlo simulations to multiple hypothesis tests

Uses Software

• Joinpoint

Cites Work

• Sequential analysis. Tests and confidence intervals
• Repeated significance test II, for hypotheses about the normal distribution
• Designing Monte Carlo Implementations of Permutation or Bootstrap Hypothesis Tests

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