[Numpy-discussion] Distribution Functions Change Behavior
Mon Apr 28 10:29:45 CDT 2008
I may not understand what you are asking, Rich, but I'm not sure I
agree with Alan. A Gaussian fit to data x should fit exactly as well
as data fit to ax, a > 0, just with a variance a^2 times the original.
The only way this would not be true is if:
1. You are not fitting the variance, but only the mean
2. There's some numerical issue (like some of the data are represented
as integers, etc.)
Don't know if it could be one of those issues...
On Mon, Apr 28, 2008 at 7:18 AM, Alan G Isaac <firstname.lastname@example.org> wrote:
> Hi Rich,
> If your data is truncated at zero, it is not Gaussian (drawn
> from a normal). You will notice this when you shrink the
> range of values (unless the variance is tiny).
> Alan Isaac
> Numpy-discussion mailing list
UBC Department of Computer Science
More information about the Numpy-discussion