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  • $\begingroup$ What, if anything, is common to each of the 15 or so runs? E.g., are they all measuring the same system? If not, are there some parameters you expect to remain the same between runs? I think it might be possible to "borrow strength" for outlier detection by suitably combining all data into one dataset, rather than viewing it as 15 separate datasets, and thereby overcome the pessimistic views expressed in comments elsewhere in this thread. $\endgroup$ Commented Oct 15, 2012 at 16:23
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    $\begingroup$ They are different systems. Although they are similar they all differ significantly and I can't assume any parameters are the same between them. $\endgroup$ Commented Oct 17, 2012 at 10:37