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Hi,
I'm having difficulty selecting a curve fitting tool to use for my application. I'm trying to recreate a fit that is based on an equation with 5 parameters (or coefficients) and two independent variables - I'll call them "rf_amp" and "offsets". According to the literature I have read, in order to do a fit that "converges to stable parameters" (Henkelman et al. Magnetic Resonance in Medicine 29:759-766 (1993)) multiple "rf_amps" are needed. If the data were plotted on a x,y chart, it would look like 3 sigmoidal plots where the y-axis is the "value" of the data (normalized to 0-1) and the x-axis are the "offsets". Each sigmoidal curve is created by one of "rf_amp". The y-values of the data are modeled by an equation with 5 coefficients and two independent variables (experimental parameters). I'm not sure of the tool to use to fit one equation to three independent measurements
simultaneously (or do I do one curve at a time and loop through the "rf_amp" values?) ?
thank you for any help
-Dave
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