yeah, when dealing with the error distribution of a ratio of two quantities with their own errors of measurement, things can get interesting.
Back when I was a lad, nonlinear regression analysis on (e.g.,) hyperbolic data (binding isotherms) was pretty much impossible, so folks in my discipline used linearizing transforms. They made analysis easy, but really effed up the accuracy of parameter estimation.