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Mar 10, 2015 at 6:51 history edited Martin - マーチン CC BY-SA 3.0
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Mar 1, 2015 at 18:45 comment added DrMoishe Pippik Sorry for the cop-out, but all the literature I've come across is pragmatic, without full numerical analysis for all the competing factors affecting conductivity. Determine the applicable range of concentrations, decide how close the fit must be, and see if you can derive a formula that fits within an acceptable limit. If someone out there has a better theoretical grasp, please answer.
Mar 1, 2015 at 18:35 comment added user1997744 That's not the problem; I have Mathematica that is capable of fitting any function to a curve, and determining the parameters. My point is that several functions may fit. I'd like a theory which derives or motivates a function, so that my choice of function is justified.
Mar 1, 2015 at 18:34 comment added DrMoishe Pippik There are many tools to derive a formula to fit a curve. E.G. using Excel (cpp.edu/~seskandari/documents/Curve_Fitting_William_Lee.pdf), or MATLAB, online in Wolfram using it's Fit language (reference.wolfram.com/language/tutorial/CurveFitting.html), or this Regression Fitter (had2know.com/academics/…)
Mar 1, 2015 at 18:27 comment added user1997744 Yes, all of this is clear. The problem is finding a function to fit to the curve. Is there a more sophisticated theory that suggests a function, rather than I having to guess? Because there are many that can fit the curve 'decently.'
Mar 1, 2015 at 18:26 history answered DrMoishe Pippik CC BY-SA 3.0