# An adaptive significance threshold criterion for massive multiple hypotheses testing

@article{Cheng2006AnAS, title={An adaptive significance threshold criterion for massive multiple hypotheses testing}, author={Cheng Cheng}, journal={arXiv: Statistics Theory}, year={2006}, pages={51-76} }

This research deals with massive multiple hypothesis testing. First regarding multiple tests as an estimation problem under a proper population model, an error measurement called Erroneous Rejection Ratio (ERR) is introduced and related to the False Discovery Rate (FDR). ERR is an error measurement similar in spirit to FDR, and it greatly simplifies the analytical study of error properties of multiple test procedures. Next an improved estimator of the proportion of true null hypotheses and a…

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