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On Using Truncated Sequential Probability Ratio Test Boundaries for Monte Carlo Implementation of Hypothesis Tests

When designing programs or software for the implementation of Monte Carlo (MC) hypothesis tests, we can save computation time by using sequential stopping boundaries. Such boundaries imply stopping resampling after relatively few replications if the early replications indicate a very large or very s...

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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Fay, Michael P., Kim, Hyune-Ju, Hachey, Mark
Format: Artigo
Langue:Inglês
Publié: 2007
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC2467508/
https://ncbi.nlm.nih.gov/pubmed/18633453
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/106186007X257025
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