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Re: MPFITFUN multiple variable [message #94696 is a reply to message #94691]

Fri, 25 August 2017 07:23

Craig Markwardt
Messages: 1869
Registered: November 1996

Senior Member

On Wednesday, August 23, 2017 at 10:10:36 PM UTC-4, Juyeon Bae wrote:
> However, there are big problems in the results. (1) too big CHI-SQUARE (2) too small correlation coefficient and (3) I DON'T KNOW WHAT TO DOOOOOOO!!!!

As Markus points hints at... "Too big chi-square" means either that the fit is of poor quality; OR the weights are not assigned correctly. Both of those questions are scientific questions you have to ask yourself; we can't really help you.

If the fit quality looks really good, then that means you are over-weighting your data. If the fit quality looks bad, then you need to develop a better model of the data.

Craig

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[Message index]

		MPFITFUN multiple variable By: bjy512 on Wed, 23 August 2017 19:10
		Re: MPFITFUN multiple variable By: Markus Schmassmann on Thu, 24 August 2017 02:45
		Re: MPFITFUN multiple variable By: Craig Markwardt on Fri, 25 August 2017 07:23

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