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 inclusion of the error in the fitting funct

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T O P I C    R E V I E W
chintanshah Posted - 02/05/2015 : 10:00:57 AM
Hello,
I am building a new cosine fitting function. i.e. A-B*cos((2*pi*(x+x0))/180). After fitting the data points with this function, I can get amplitude B and the offset A. Now to the post fitting, I want to have simple mathematical calculations on the derived parameters. i.e. p_DR=((B/(M*A))-(p_RR*f_RR))/(1-f_RR), where M, p_RR and f_RR are the constants, but it has an error. At this point I do not know How can I include the error of M, p_RR and f_RR in the post processing of the function.
Please let me know how to include errors to get final value of p_DR?



Thank you very much.
Regards,

chintan
4   L A T E S T    R E P L I E S    (Newest First)
chintanshah Posted - 02/09/2015 : 04:03:35 AM
quote:
Originally posted by lkb0221

Origin cannot do error propagation automatically. You need to calculate it by yourself.

While, a standard error of fitting will be generated for derived parameters, please see the following page:
http://www.originlab.com/doc/Origin-Help/Fitting-Nonlinear-Model#The_Standard_Error_for_Derived_Parameter



Thank you very much lkb0221.

chintan
lkb0221 Posted - 02/05/2015 : 11:35:15 AM
Origin cannot do error propagation automatically. You need to calculate it by yourself.

While, a standard error of fitting will be generated for derived parameters, please see the following page:
http://www.originlab.com/doc/Origin-Help/Fitting-Nonlinear-Model#The_Standard_Error_for_Derived_Parameter
chintanshah Posted - 02/05/2015 : 10:16:09 AM
quote:
Originally posted by lkb0221

Move your M into parameter part and fix it.



Thank you lkb0221. Fixing the value is the same as the constant. The value of M is for an example 0.4+/-0.02, the same for the values of p_RR and f_RR. The question is, How to take the error of 0.02 of M and others, as error propagation to derived parameter?

chintan
lkb0221 Posted - 02/05/2015 : 10:04:52 AM
Move your M into parameter part and fix it.

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