Asymptotic behavior of pre-test procedures
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Asymptotic results on adaptive false discovery rate controlling procedures based on kernel estimators
The False Discovery Rate (FDR) is a commonly used type I error rate in multiple testing problems. It is defined as the expected False Discovery Proportion (FDP), that is, the expected fraction of false positives among rejected hypotheses. When the hypotheses are independent, the Benjamini-Hochberg procedure achieves FDR control at any pre-specified level. By construction, FDR control offers no ...
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تاریخ انتشار 1999