(Dana representing e2e at Users Committee)
Apr 13-17 NRAO/UVA CSE CASA Parallelization Tiger Team (Charlottesville)
Apr 20-24 In Charlottesville Mon 20th & Tue 21st
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Apr 27-May 1 In DC @ NIST - organizational excellence workshop
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Related topics


$0 < \alpha< 1$ is the {\it a priori} error rate (similar to significance level) set, and suppose the $p$-values

resulting from the $s$ tests are ordered such that $p(1) \le p(2) \le \cdots \le p(s)$. Here we might restrict our attention to those $3\sigma$ or $4\sigma$ detections.

Now we find $$d = \max_{1 \le k \le s}\{k: p(k) \le \alpha \cdot k/s\},$$ then rejecting the null hypotheses (identify detections) corresponding to $p(1), \cdots, p(d)$ provides $FDR \le \alpha$.

Note that only pixels with $p$-values less than $\alpha$ matter. $%
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                                          < 1$ is the {\it a priori} error r...

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l.17 ... set, and suppose the $p$-values\end{math}
[1] (./QRa5niLvT4.aux) )
(see the transcript file for additional information)
Output written on QRa5niLvT4.dvi (1 page, 592 bytes).
Transcript written on QRa5niLvT4.log.
Topic revision: r8 - 2009-10-15, UnknownUser

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