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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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Detaylı Bibliyografya
Asıl Yazarlar: Fay, Michael P., Kim, Hyune-Ju, Hachey, Mark
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2007
Konular:
Online Erişim: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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