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Lemming76
Austria
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Posted - 04/18/2007 : 08:29:41 AM
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Origin Version: OroginPro 7.5G SR6 v7.5886 (B886) Operating System: WinXP SP2
Hi! I have 2 questions concerning the nonlinear fitting functionalities:
1. I used the NLSF wizard to fit curves to multiple datasets using separate parameter sets. I noticed that the errors reported for the parameters are different from when I fit each dataset separately. Is there any (statistical) sense behind this?
2. the fit comparison tool reports the F- and P-values for the F-test. The Origin reference states that F=((SSRcomb-SSRsep)/(DOFcomb-DOFsep))/(SSRsep/DOFsep) and according to what I've been reading elsewhere this should be the correct formula. However, the tool actually calculates according to the formula F=((SSRcomb-SSRsep)/(DOFcomb-DOFsep))/SSRsep resulting in false test conclusions. Did I miss something or is this a software bug?
thanks for any replies! Chris |
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larry_lan
China
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Posted - 04/18/2007 : 10:53:44 PM
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Hi Chris:
1. This is because if you fit multiple datasets in one time, Origin actually performs "Global Fit". That is, it will treat all inputs as one curve, and generates one reduced Chi^2, DOF, etc. And the parameters error related to such values, so the result is different.
2. Yes, this is a bug. And we have fixed it in our next version.
Thanks
Larry OriginLab Technical Services |
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Wendy_Yang
USA
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Posted - 04/30/2009 : 1:25:24 PM
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Hi Larry, this is a quesiton related to your answer #1. Is it possible to obtain the Chi^2 value for each dataset when performing global fit? The result only contains the chi^2/DoF for all the datasets, but I would like to know how well the individual curves are fitted. I think I know how to calculate chi^2 by hand, but it will be very helpful if there is an easier way to get them from the software.
Thanks! Wendy |
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Deanna
China
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Wendy_Yang
USA
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Posted - 05/06/2009 : 11:48:59 AM
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Hi Deanna,
Thank you very much! I actually need to share all parameter except for one, so the global fit works for me. I decided to do residual plots for the individual datasets, and that seems to help with the visualization.
Thanks again, Wendy |
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