Creating synthetic data sets by randomizing the function parameters
Mon, 05/16/2022 - 01:23 pm
I have data in a waveform that I fitted with a 5-parameter function. Unfortunately, it is not possible to analytically deduce the maximum from the fit function, I was wondering if its possible to generate, for example, 100 synthetic data sets by randomizing the fit parameters using gnoise and deduce the uncertainty numerically. Can anyone advise me on this matter? I must admit that I am not well versed in Igor Programming. Any help would be greatly appreciated.
Please see below the fit function: