[SciPy-User] How to fit data with errorbars
Wed Feb 17 12:23:12 CST 2010
On Wed, Feb 17, 2010 at 12:15, Jeremy Conlin <email@example.com> wrote:
> On Wed, Feb 17, 2010 at 11:06 AM, Skipper Seabold <firstname.lastname@example.org> wrote:
>> On Wed, Feb 17, 2010 at 10:24 AM, Jeremy Conlin <email@example.com> wrote:
>>> After reading into curve fitting, I realize I know next to nothing
>>> about how this is done. Can anyone recommend a good book or some sort
>>> of reference to describe curve fitting in general? I need to
>>> investigate this further.
>> What is your background? I find examples that are in terms of things
>> I am intuitively familiar with to be much more helpful, though as you
>> learn more this becomes less important.
> I should have given my background. I have a PhD in engineering where
> my work was in computational algorithms. However, at the time, I
> didn't need to fit a curve to my data to any known models. Now that I
> have a job, this becomes necessary so I need to learn it.
>> I found this to be a decent general intro (if you can find it):
>> Introduction to Linear Regression Analysis by Montgomery and Peck
> Thanks for that recommendation. I will get this.
Honestly, I'd recommend staying away from any sources that use the
word "regression". They are perfectly fine sources in general, but
they come from a very different background and have a very different
focus from what engineers need.
Bevington and Robinson's _Data Reduction and Error Analysis for The
Physical Sciences_ is a good, though old, book that has more of a
physics and engineering focus.
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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