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. 2012 Dec 27;7(12):e52253. doi: 10.1371/journal.pone.0052253

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© 2012 Skrøvseth et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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The detection time for a small change (, top panel) and large change (, bottom panel) versus false positive rate for the c-SiZer algorithm with p in the range 20 (left in plot) through 0.5 (right in plot). The mean detection time is shown as black line for the two cases, while the surrounding shaded regions show the 30/70 percent quantiles for the fitted distribution. The FPR for is indicated. The colored lines show the corresponding values for the comparison algorithms cpt (red), bayes (blue), and cusum(green) for three different binwidths, with (dashed, full, dotted) lines. Note that for cusum, the change is never detected using binwidth .

Inline graphic — The detection time for a small change (, top panel) and large change (, bottom panel) versus false positive rate for the c-SiZer algorithm with p in the range 20 (left in plot) through 0.5 (right in plot). The mean detection time is shown as black line for the two cases, while the surrounding shaded regions show the 30/70 percent quantiles for the fitted distribution. The FPR for is indicated. The colored lines show the corresponding values for the comparison algorithms cpt (red), bayes (blue), and cusum(green) for three different binwidths, with (dashed, full, dotted) lines. Note that for cusum, the change is never detected using binwidth .