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Description:: Many methods have been proposed for estimating the number, $m_0$ (or the proportion, $\pi_0$), of the true null hypotheses for adaptively controlling a type I error rate (e.g., the false discovery rate or FDR) using a multiple test procedure. Most of these methods eliminate ``significantly" non-null $p$-values. Then $m_0$ is...
Keyword:: False discovery rate (FDR), Long-run FDR ($l$-FDR), Mixture model, Bias-correction, $p$-values, and EM algorithm
Subject:: Statistics
Creator:: Jiaxiao Shi
Owner:: Scholarly Digital Publishing
Date Uploaded:: 05/09/2018
Date Modified:: 05/09/2018
Date Created:: 2006-10-10
Resource Type:: Dissertation

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