On Thu, Jun 5, 2008 at 10:16 PM, Keith Goodman <[EMAIL PROTECTED]> wrote: > How can that lead to instability? If the last half-million values are > small then they won't have a big impact on the mean even if they are > ignored. The variance is a mean too (of the squares), so it should be > stable too. Or am I, once again, missing the point?
No, I just didn't think about it long enough, and I shouldn't have tried to make an example off the cuff. ;) After thinking about it again, I think some loss of accuracy is probably the worst that can happen. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
